Leaderboard
Each row is the share of 750 hidden English test decisions a model takes on its own, with a Clopper-Pearson bound on its error. Ranked by coverage at the selected target. There is no composite score. Each language is scored separately.
As of 28 October 2026, DREX Max leads Tacit v0.2 in English with 98.7% certified coverage at a 5% error target (23 errors in 740 automated decisions, realised error 3.11%), ahead of basal-omni-1.0-ultra (basal 2.3.3) at 98.1%. 20 models are ranked.
- Benchmark
- v0.2
- Language
- English
- Last updated
- 28 October 2026 (what changed)
- Protocol
- tacit-devfit-1, pooled fit
- Hidden test
- n = 750
- Runs
- by the maintainer, no vendor approval
- Earlier
- v0.1, Polish
Tacit fit, pooled: temperature and threshold are fitted per question type on the public dev splits of all 4 languages together (2,852 items), then frozen and applied once to the English hidden test. This is the ranking column.
- Model id
nace-ai/drex-max- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 1039 / 4649 ms on the provider endpoint; $0.014 per 1,000 decisions
- Calibration file
- drex-max.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-omni-1.0-ultra- Revision
6d5ba67- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
baselabs/mammoth-1- Revision
not pinned (API)- Endpoint
- https://inference.baseten.co/v1/systemone (Baseten Model APIs)
- Client
- Poland, sequential calls; latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 247 / 448 ms on the provider endpoint; not billed (free access until 2026-10-27)
- Calibration file
- mammoth-1.pooled.json (Tacit fit on pooled dev)
- Model id
microsoft/microsoft-decision-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 331 / 392 ms on the provider endpoint; $0.008 per 1,000 decisions
- Calibration file
- microsoft-decision-1.pooled.json (Tacit fit on pooled dev)
- Model id
liquid/d1-ultra- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 271 / 352 ms on the provider endpoint; $0.008 per 1,000 decisions
- Calibration file
- d1-ultra.pooled.json (Tacit fit on pooled dev)
- Model id
perplexity/pplx-decider-v1.2- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 294 / 385 ms on the provider endpoint; $0.005 per 1,000 decisions
- Calibration file
- pplx-decider-v1.2.pooled.json (Tacit fit on pooled dev)
- Model id
typesafe/jev-1.14- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 251 / 308 ms on the provider endpoint; $0.019 per 1,000 decisions
- Calibration file
- jev-1.14.pooled.json (Tacit fit on pooled dev)
- Model id
openai/gpt-6-luna-decisions- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 288 / 475 ms on the provider endpoint; $0.028 per 1,000 decisions
- Calibration file
- gpt-6-luna-decisions.pooled.json (Tacit fit on pooled dev)
- Model id
baseten/elephant-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 269 / 363 ms on the provider endpoint; $0.009 per 1,000 decisions
- Calibration file
- elephant-1.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-omni-1.0-max- Revision
3278a02- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-omni-1.1-max- Revision
a3af675- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
liquid/d1.1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 609 / 4770 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- d1.1.pooled.json (Tacit fit on pooled dev)
- Model id
inception/mercury-decide- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 343 / 568 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- mercury-decide.pooled.json (Tacit fit on pooled dev)
- Model id
respan/span-02- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 300 / 1264 ms on the provider endpoint; $0.003 per 1,000 decisions
- Calibration file
- span-02.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-omni-1.0-mini- Revision
d087a7b- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-2.0-max- Revision
2fffc5c- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- basal-2.0-max.basal233.pooled.json (Tacit fit on pooled dev)
- Model id
cloudflare/clef- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 338 / 628 ms on the provider endpoint; $0.017 per 1,000 decisions
- Calibration file
- clef.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-2.0-4.5B- Revision
e5ba914- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- basal-2.0-4.5B.basal233.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-omni-pico- Revision
b31750a- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- basal-omni-pico.basal233.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-2.0-mini- Revision
cb81b32- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- basal-2.0-mini.basal233.pooled.json (Tacit fit on pooled dev)
Per-language fit, a secondary view: the same protocol fitted on the English dev split alone (750 items). It shows how far a language-specific calibration differs from the pooled one.
- Model id
microsoft/microsoft-decision-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 331 / 392 ms on the provider endpoint; $0.008 per 1,000 decisions
- Model id
Remek/basal-omni-1.0-ultra- Revision
6d5ba67- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
nace-ai/drex-max- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 1039 / 4649 ms on the provider endpoint; $0.014 per 1,000 decisions
- Calibration file
- drex-max.per-language.json (Tacit fit on English dev)
- Model id
baselabs/mammoth-1- Revision
not pinned (API)- Endpoint
- https://inference.baseten.co/v1/systemone (Baseten Model APIs)
- Client
- Poland, sequential calls; latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 247 / 448 ms on the provider endpoint; not billed (free access until 2026-10-27)
- Calibration file
- mammoth-1.per-language.json (Tacit fit on English dev)
- Model id
liquid/d1-ultra- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 271 / 352 ms on the provider endpoint; $0.008 per 1,000 decisions
- Calibration file
- d1-ultra.per-language.json (Tacit fit on English dev)
- Model id
perplexity/pplx-decider-v1.2- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 294 / 385 ms on the provider endpoint; $0.005 per 1,000 decisions
- Calibration file
- pplx-decider-v1.2.per-language.json (Tacit fit on English dev)
- Model id
typesafe/jev-1.14- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 251 / 308 ms on the provider endpoint; $0.019 per 1,000 decisions
- Calibration file
- jev-1.14.per-language.json (Tacit fit on English dev)
- Model id
openai/gpt-6-luna-decisions- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 288 / 475 ms on the provider endpoint; $0.028 per 1,000 decisions
- Model id
baseten/elephant-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 269 / 363 ms on the provider endpoint; $0.009 per 1,000 decisions
- Calibration file
- elephant-1.per-language.json (Tacit fit on English dev)
- Model id
Remek/basal-omni-1.0-max- Revision
3278a02- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
inception/mercury-decide- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 343 / 568 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- mercury-decide.per-language.json (Tacit fit on English dev)
- Model id
Remek/basal-omni-1.1-max- Revision
a3af675- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
cloudflare/clef- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 338 / 628 ms on the provider endpoint; $0.017 per 1,000 decisions
- Calibration file
- clef.per-language.json (Tacit fit on English dev)
- Model id
liquid/d1.1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 609 / 4770 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- d1.1.per-language.json (Tacit fit on English dev)
- Model id
Remek/basal-2.0-max- Revision
2fffc5c- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
respan/span-02- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 300 / 1264 ms on the provider endpoint; $0.003 per 1,000 decisions
- Calibration file
- span-02.per-language.json (Tacit fit on English dev)
- Model id
Remek/basal-omni-1.0-mini- Revision
d087a7b- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-2.0-4.5B- Revision
e5ba914- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-omni-pico- Revision
b31750a- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-2.0-mini- Revision
cb81b32- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
Vendor file: the calibration file the model author ships, applied unchanged. Only 8 of 20 models ship one. A model can reach a coverage and still miss the target on test; that is reported, not hidden.
- Model id
Remek/basal-omni-1.0-ultra- Revision
6d5ba67- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-omni-1.1-max- Revision
a3af675- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-omni-1.0-mini- Revision
d087a7b- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-omni-1.0-max- Revision
3278a02- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-2.0-max- Revision
2fffc5c- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-omni-pico- Revision
b31750a- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-2.0-4.5B- Revision
e5ba914- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-2.0-mini- Revision
cb81b32- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
nace-ai/drex-max- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 1039 / 4649 ms on the provider endpoint; $0.014 per 1,000 decisions
- Calibration file
- drex-max.pooled.json (Tacit fit on pooled dev)
- Model id
baselabs/mammoth-1- Revision
not pinned (API)- Endpoint
- https://inference.baseten.co/v1/systemone (Baseten Model APIs)
- Client
- Poland, sequential calls; latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 247 / 448 ms on the provider endpoint; not billed (free access until 2026-10-27)
- Calibration file
- mammoth-1.pooled.json (Tacit fit on pooled dev)
- Model id
microsoft/microsoft-decision-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 331 / 392 ms on the provider endpoint; $0.008 per 1,000 decisions
- Calibration file
- microsoft-decision-1.pooled.json (Tacit fit on pooled dev)
- Model id
liquid/d1-ultra- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 271 / 352 ms on the provider endpoint; $0.008 per 1,000 decisions
- Calibration file
- d1-ultra.pooled.json (Tacit fit on pooled dev)
- Model id
perplexity/pplx-decider-v1.2- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 294 / 385 ms on the provider endpoint; $0.005 per 1,000 decisions
- Calibration file
- pplx-decider-v1.2.pooled.json (Tacit fit on pooled dev)
- Model id
typesafe/jev-1.14- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 251 / 308 ms on the provider endpoint; $0.019 per 1,000 decisions
- Calibration file
- jev-1.14.pooled.json (Tacit fit on pooled dev)
- Model id
openai/gpt-6-luna-decisions- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 288 / 475 ms on the provider endpoint; $0.028 per 1,000 decisions
- Calibration file
- gpt-6-luna-decisions.pooled.json (Tacit fit on pooled dev)
- Model id
baseten/elephant-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 269 / 363 ms on the provider endpoint; $0.009 per 1,000 decisions
- Calibration file
- elephant-1.pooled.json (Tacit fit on pooled dev)
- Model id
liquid/d1.1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 609 / 4770 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- d1.1.pooled.json (Tacit fit on pooled dev)
- Model id
inception/mercury-decide- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 343 / 568 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- mercury-decide.pooled.json (Tacit fit on pooled dev)
- Model id
respan/span-02- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 300 / 1264 ms on the provider endpoint; $0.003 per 1,000 decisions
- Calibration file
- span-02.pooled.json (Tacit fit on pooled dev)
- Model id
cloudflare/clef- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 338 / 628 ms on the provider endpoint; $0.017 per 1,000 decisions
- Calibration file
- clef.pooled.json (Tacit fit on pooled dev)
Tacit fit, pooled: temperature and threshold are fitted per question type on the public dev splits of all 4 languages together (2,852 items), then frozen and applied once to the English hidden test. This is the ranking column.
- Model id
Remek/basal-omni-1.0-ultra- Revision
6d5ba67- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
liquid/d1-ultra- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 271 / 352 ms on the provider endpoint; $0.008 per 1,000 decisions
- Calibration file
- d1-ultra.pooled.json (Tacit fit on pooled dev)
- Model id
nace-ai/drex-max- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 1039 / 4649 ms on the provider endpoint; $0.014 per 1,000 decisions
- Calibration file
- drex-max.pooled.json (Tacit fit on pooled dev)
- Model id
typesafe/jev-1.14- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 251 / 308 ms on the provider endpoint; $0.019 per 1,000 decisions
- Calibration file
- jev-1.14.pooled.json (Tacit fit on pooled dev)
- Model id
perplexity/pplx-decider-v1.2- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 294 / 385 ms on the provider endpoint; $0.005 per 1,000 decisions
- Calibration file
- pplx-decider-v1.2.pooled.json (Tacit fit on pooled dev)
- Model id
inception/mercury-decide- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 343 / 568 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- mercury-decide.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-omni-1.1-max- Revision
a3af675- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-omni-1.0-max- Revision
3278a02- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
baselabs/mammoth-1- Revision
not pinned (API)- Endpoint
- https://inference.baseten.co/v1/systemone (Baseten Model APIs)
- Client
- Poland, sequential calls; latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 247 / 448 ms on the provider endpoint; not billed (free access until 2026-10-27)
- Calibration file
- mammoth-1.pooled.json (Tacit fit on pooled dev)
- Model id
baseten/elephant-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 269 / 363 ms on the provider endpoint; $0.009 per 1,000 decisions
- Calibration file
- elephant-1.pooled.json (Tacit fit on pooled dev)
- Model id
openai/gpt-6-luna-decisions- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 288 / 475 ms on the provider endpoint; $0.028 per 1,000 decisions
- Calibration file
- gpt-6-luna-decisions.pooled.json (Tacit fit on pooled dev)
- Model id
microsoft/microsoft-decision-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 331 / 392 ms on the provider endpoint; $0.008 per 1,000 decisions
- Calibration file
- microsoft-decision-1.pooled.json (Tacit fit on pooled dev)
- Model id
respan/span-02- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 300 / 1264 ms on the provider endpoint; $0.003 per 1,000 decisions
- Calibration file
- span-02.pooled.json (Tacit fit on pooled dev)
- Model id
liquid/d1.1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 609 / 4770 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- d1.1.pooled.json (Tacit fit on pooled dev)
- Model id
cloudflare/clef- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 338 / 628 ms on the provider endpoint; $0.017 per 1,000 decisions
- Calibration file
- clef.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-2.0-max- Revision
2fffc5c- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- basal-2.0-max.basal233.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-omni-1.0-mini- Revision
d087a7b- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-2.0-mini- Revision
cb81b32- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- basal-2.0-mini.basal233.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-2.0-4.5B- Revision
e5ba914- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- basal-2.0-4.5B.basal233.pooled.json (Tacit fit on pooled dev)
- Model id
Remek/basal-omni-pico- Revision
b31750a- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- basal-omni-pico.basal233.pooled.json (Tacit fit on pooled dev)
Per-language fit, a secondary view: the same protocol fitted on the English dev split alone (750 items). It shows how far a language-specific calibration differs from the pooled one.
No model is certified at 1% yet. Every decision goes to a person.
The per-language fit sees only the English dev split: 300 yes/no, 294 choice and 156 score items. A 1% bound needs at least 299 accepted dev decisions of one type, all of them correct, so this fit can usually certify 5% only. The table still shows each model's accuracy and calibration.
- Model id
nace-ai/drex-max- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 1039 / 4649 ms on the provider endpoint; $0.014 per 1,000 decisions
- Calibration file
- drex-max.per-language.json (Tacit fit on English dev)
- Model id
Remek/basal-omni-1.0-ultra- Revision
6d5ba67- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
baselabs/mammoth-1- Revision
not pinned (API)- Endpoint
- https://inference.baseten.co/v1/systemone (Baseten Model APIs)
- Client
- Poland, sequential calls; latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 247 / 448 ms on the provider endpoint; not billed (free access until 2026-10-27)
- Calibration file
- mammoth-1.per-language.json (Tacit fit on English dev)
- Model id
microsoft/microsoft-decision-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 331 / 392 ms on the provider endpoint; $0.008 per 1,000 decisions
- Model id
liquid/d1-ultra- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 271 / 352 ms on the provider endpoint; $0.008 per 1,000 decisions
- Calibration file
- d1-ultra.per-language.json (Tacit fit on English dev)
- Model id
perplexity/pplx-decider-v1.2- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 294 / 385 ms on the provider endpoint; $0.005 per 1,000 decisions
- Calibration file
- pplx-decider-v1.2.per-language.json (Tacit fit on English dev)
- Model id
typesafe/jev-1.14- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 251 / 308 ms on the provider endpoint; $0.019 per 1,000 decisions
- Calibration file
- jev-1.14.per-language.json (Tacit fit on English dev)
- Model id
openai/gpt-6-luna-decisions- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 288 / 475 ms on the provider endpoint; $0.028 per 1,000 decisions
- Model id
baseten/elephant-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 269 / 363 ms on the provider endpoint; $0.009 per 1,000 decisions
- Calibration file
- elephant-1.per-language.json (Tacit fit on English dev)
- Model id
Remek/basal-omni-1.0-max- Revision
3278a02- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-omni-1.1-max- Revision
a3af675- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
liquid/d1.1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 609 / 4770 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- d1.1.per-language.json (Tacit fit on English dev)
- Model id
inception/mercury-decide- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 343 / 568 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- mercury-decide.per-language.json (Tacit fit on English dev)
- Model id
respan/span-02- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 300 / 1264 ms on the provider endpoint; $0.003 per 1,000 decisions
- Calibration file
- span-02.per-language.json (Tacit fit on English dev)
- Model id
Remek/basal-omni-1.0-mini- Revision
d087a7b- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-2.0-max- Revision
2fffc5c- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
cloudflare/clef- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 338 / 628 ms on the provider endpoint; $0.017 per 1,000 decisions
- Calibration file
- clef.per-language.json (Tacit fit on English dev)
- Model id
Remek/basal-2.0-4.5B- Revision
e5ba914- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-omni-pico- Revision
b31750a- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Model id
Remek/basal-2.0-mini- Revision
cb81b32- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
Vendor file: the calibration file the model author ships, applied unchanged. Only 8 of 20 models ship one. A model can reach a coverage and still miss the target on test; that is reported, not hidden.
- Model id
Remek/basal-omni-1.0-ultra- Revision
6d5ba67- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-omni-1.0-max- Revision
3278a02- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-omni-1.1-max- Revision
a3af675- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-omni-1.0-mini- Revision
d087a7b- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-omni-pico- Revision
b31750a- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode eager --device mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-2.0-max- Revision
2fffc5c- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-2.0-4.5B- Revision
e5ba914- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
Remek/basal-2.0-mini- Revision
cb81b32- Engine
- basal 2.3.3 (v2.3.3 = 1eddd9a), basal-serve --mode mps --no-calibration, PyTorch MPS, bf16 full weights, batch size 1, one option order (harness adapter, 3 untimed warm-up requests per file)
- Hardware
- Apple M5 Max, 128 GB unified memory, macOS 27.0.1
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- local, batch size 1; local, not priced
- Calibration file
- Vendor file, applied unchanged
- Model id
nace-ai/drex-max- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 1039 / 4649 ms on the provider endpoint; $0.014 per 1,000 decisions
- Calibration file
- drex-max.pooled.json (Tacit fit on pooled dev)
- Model id
baselabs/mammoth-1- Revision
not pinned (API)- Endpoint
- https://inference.baseten.co/v1/systemone (Baseten Model APIs)
- Client
- Poland, sequential calls; latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 247 / 448 ms on the provider endpoint; not billed (free access until 2026-10-27)
- Calibration file
- mammoth-1.pooled.json (Tacit fit on pooled dev)
- Model id
microsoft/microsoft-decision-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 331 / 392 ms on the provider endpoint; $0.008 per 1,000 decisions
- Calibration file
- microsoft-decision-1.pooled.json (Tacit fit on pooled dev)
- Model id
liquid/d1-ultra- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 271 / 352 ms on the provider endpoint; $0.008 per 1,000 decisions
- Calibration file
- d1-ultra.pooled.json (Tacit fit on pooled dev)
- Model id
perplexity/pplx-decider-v1.2- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 294 / 385 ms on the provider endpoint; $0.005 per 1,000 decisions
- Calibration file
- pplx-decider-v1.2.pooled.json (Tacit fit on pooled dev)
- Model id
typesafe/jev-1.14- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 251 / 308 ms on the provider endpoint; $0.019 per 1,000 decisions
- Calibration file
- jev-1.14.pooled.json (Tacit fit on pooled dev)
- Model id
openai/gpt-6-luna-decisions- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 288 / 475 ms on the provider endpoint; $0.028 per 1,000 decisions
- Calibration file
- gpt-6-luna-decisions.pooled.json (Tacit fit on pooled dev)
- Model id
baseten/elephant-1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 269 / 363 ms on the provider endpoint; $0.009 per 1,000 decisions
- Calibration file
- elephant-1.pooled.json (Tacit fit on pooled dev)
- Model id
liquid/d1.1- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 28 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 609 / 4770 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- d1.1.pooled.json (Tacit fit on pooled dev)
- Model id
inception/mercury-decide- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 343 / 568 ms on the provider endpoint; $0.004 per 1,000 decisions
- Calibration file
- mercury-decide.pooled.json (Tacit fit on pooled dev)
- Model id
respan/span-02- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 300 / 1264 ms on the provider endpoint; $0.003 per 1,000 decisions
- Calibration file
- span-02.pooled.json (Tacit fit on pooled dev)
- Model id
cloudflare/clef- Revision
not pinned (API)- Endpoint
- https://openrouter.ai/api/alpha/decisions (raw, alpha)
- Client
- Poland, sequential calls per model (different models ran concurrently); latency = client wall clock incl. network
- Test run date
- 22 October 2026
- Run by
- The maintainer. No vendor approved these numbers.
- Latency and cost
- 338 / 628 ms on the provider endpoint; $0.017 per 1,000 decisions
- Calibration file
- clef.pooled.json (Tacit fit on pooled dev)
Accuracy by question type
Accuracy per question type on the English hidden test. Thresholds are fitted per type, so a model can be certified for one type and defer every decision of another.
| Model | Yes/no n=300 | Choice n=294 | Score n=156 |
|---|---|---|---|
| DREX Max | 93.7 | 97.3 | 100 |
| basal-omni-1.0-ultra (basal 2.3.3) | 96.3 | 98.3 | 100 |
| Mammoth-1 | 94.7 | 98.3 | 97.4 |
| Microsoft-Decision-1 | 94.3 | 97.3 | 97.4 |
| Liquid d1-ultra | 94.7 | 96.6 | 98.1 |
| pplx-decider-v1.2 | 91.7 | 95.9 | 98.7 |
| Jev 1.14 | 93.7 | 97.3 | 98.7 |
| GPT-6 Luna Decisions | 94.3 | 95.9 | 98.1 |
| Elephant-1 | 91.3 | 94.9 | 97.4 |
| basal-omni-1.0-max (basal 2.3.3) | 92 | 96.3 | 97.4 |
| basal-omni-1.1-max (basal 2.3.3) | 92.7 | 95.6 | 96.2 |
| Liquid d1.1 | 92 | 95.9 | 97.4 |
| Mercury Decide | 91.3 | 95.6 | 97.4 |
| Respan Span-02 | 95.3 | 98 | 95.5 |
| basal-omni-1.0-mini (basal 2.3.3) | 86 | 94.6 | 96.2 |
| basal-2.0-max (basal 2.3.3) | 87.3 | 96.3 | 96.8 |
| Cloudflare Clef | 90.3 | 94.2 | 95.5 |
| basal-2.0-4.5B (basal 2.3.3) | 84.3 | 94.6 | 90.4 |
| basal-omni-pico (basal 2.3.3) | 79.3 | 88.8 | 80.8 |
| basal-2.0-mini (basal 2.3.3) | 82 | 89.1 | 82.7 |
Accuracy in %, hidden test.
Accuracy by family
19 families, 30 to 80 test items each. Darker means more accurate. Small families move a lot with one item, so read single cells with care.