Leaderboard
Each row is the share of 750 hidden Norwegian Bokmål 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, Mammoth-1 leads Tacit v0.2 in Norwegian Bokmål with 99.3% certified coverage at a 5% error target (36 errors in 745 automated decisions, realised error 4.83%), ahead of basal-omni-1.0-ultra (basal 2.3.3) at 98.8%. 20 models are ranked.
- Benchmark
- v0.2
- Language
- Norwegian Bokmål
- 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 Norwegian Bokmål hidden test. This is the ranking column.
- 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
- 260 / 397 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
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
- 2059 / 4900 ms on the provider endpoint; $0.018 per 1,000 decisions
- Calibration file
- drex-max.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
- 336 / 401 ms on the provider endpoint; $0.010 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
- 272 / 350 ms on the provider endpoint; $0.011 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
- 300 / 443 ms on the provider endpoint; $0.006 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
- 270 / 326 ms on the provider endpoint; $0.022 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
- 295 / 510 ms on the provider endpoint; $0.033 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
- 268 / 359 ms on the provider endpoint; $0.011 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
- 2376 / 5413 ms on the provider endpoint; $0.005 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
- 352 / 556 ms on the provider endpoint; $0.006 per 1,000 decisions
- Calibration file
- mercury-decide.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
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
- 311 / 1735 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-1.1-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-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
- 349 / 680 ms on the provider endpoint; $0.021 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 Norwegian Bokmål dev split alone (750 items). It shows how far a language-specific calibration differs from the pooled one.
- 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
- 272 / 350 ms on the provider endpoint; $0.011 per 1,000 decisions
- Calibration file
- d1-ultra.per-language.json (Tacit fit on Norwegian Bokmål 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
- 2059 / 4900 ms on the provider endpoint; $0.018 per 1,000 decisions
- Calibration file
- drex-max.per-language.json (Tacit fit on Norwegian Bokmål 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
- 270 / 326 ms on the provider endpoint; $0.022 per 1,000 decisions
- Calibration file
- jev-1.14.per-language.json (Tacit fit on Norwegian Bokmål 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
- 300 / 443 ms on the provider endpoint; $0.006 per 1,000 decisions
- 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
- 336 / 401 ms on the provider endpoint; $0.010 per 1,000 decisions
- 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
- 2376 / 5413 ms on the provider endpoint; $0.005 per 1,000 decisions
- Calibration file
- d1.1.per-language.json (Tacit fit on Norwegian Bokmål 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
- 352 / 556 ms on the provider endpoint; $0.006 per 1,000 decisions
- 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
- 260 / 397 ms on the provider endpoint; not billed (free access until 2026-10-27)
- Calibration file
- mammoth-1.per-language.json (Tacit fit on Norwegian Bokmål 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
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
- 295 / 510 ms on the provider endpoint; $0.033 per 1,000 decisions
- 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
- 311 / 1735 ms on the provider endpoint; $0.003 per 1,000 decisions
- Calibration file
- span-02.per-language.json (Tacit fit on Norwegian Bokmål 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
- 268 / 359 ms on the provider endpoint; $0.011 per 1,000 decisions
- Calibration file
- elephant-1.per-language.json (Tacit fit on Norwegian Bokmål 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
- 349 / 680 ms on the provider endpoint; $0.021 per 1,000 decisions
- Calibration file
- clef.per-language.json (Tacit fit on Norwegian Bokmål 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
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
- 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-2.0-4.5B- 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
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
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
- 260 / 397 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
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
- 2059 / 4900 ms on the provider endpoint; $0.018 per 1,000 decisions
- Calibration file
- drex-max.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
- 336 / 401 ms on the provider endpoint; $0.010 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
- 272 / 350 ms on the provider endpoint; $0.011 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
- 300 / 443 ms on the provider endpoint; $0.006 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
- 270 / 326 ms on the provider endpoint; $0.022 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
- 295 / 510 ms on the provider endpoint; $0.033 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
- 268 / 359 ms on the provider endpoint; $0.011 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
- 2376 / 5413 ms on the provider endpoint; $0.005 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
- 352 / 556 ms on the provider endpoint; $0.006 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
- 311 / 1735 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
- 349 / 680 ms on the provider endpoint; $0.021 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 Norwegian Bokmål 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
- 272 / 350 ms on the provider endpoint; $0.011 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
- 2059 / 4900 ms on the provider endpoint; $0.018 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
- 270 / 326 ms on the provider endpoint; $0.022 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
- 300 / 443 ms on the provider endpoint; $0.006 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
- 352 / 556 ms on the provider endpoint; $0.006 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
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
- 336 / 401 ms on the provider endpoint; $0.010 per 1,000 decisions
- Calibration file
- microsoft-decision-1.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
- 260 / 397 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
- 268 / 359 ms on the provider endpoint; $0.011 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
- 295 / 510 ms on the provider endpoint; $0.033 per 1,000 decisions
- Calibration file
- gpt-6-luna-decisions.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
- 311 / 1735 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
- 2376 / 5413 ms on the provider endpoint; $0.005 per 1,000 decisions
- Calibration file
- d1.1.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
- 349 / 680 ms on the provider endpoint; $0.021 per 1,000 decisions
- Calibration file
- clef.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)
- 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 Norwegian Bokmål 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 Norwegian Bokmål 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
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
- 260 / 397 ms on the provider endpoint; not billed (free access until 2026-10-27)
- Calibration file
- mammoth-1.per-language.json (Tacit fit on Norwegian Bokmål 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
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
- 2059 / 4900 ms on the provider endpoint; $0.018 per 1,000 decisions
- Calibration file
- drex-max.per-language.json (Tacit fit on Norwegian Bokmål 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
- 336 / 401 ms on the provider endpoint; $0.010 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
- 272 / 350 ms on the provider endpoint; $0.011 per 1,000 decisions
- Calibration file
- d1-ultra.per-language.json (Tacit fit on Norwegian Bokmål 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
- 300 / 443 ms on the provider endpoint; $0.006 per 1,000 decisions
- 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
- 270 / 326 ms on the provider endpoint; $0.022 per 1,000 decisions
- Calibration file
- jev-1.14.per-language.json (Tacit fit on Norwegian Bokmål 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
- 295 / 510 ms on the provider endpoint; $0.033 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
- 268 / 359 ms on the provider endpoint; $0.011 per 1,000 decisions
- Calibration file
- elephant-1.per-language.json (Tacit fit on Norwegian Bokmål 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
- 2376 / 5413 ms on the provider endpoint; $0.005 per 1,000 decisions
- Calibration file
- d1.1.per-language.json (Tacit fit on Norwegian Bokmål 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
- 352 / 556 ms on the provider endpoint; $0.006 per 1,000 decisions
- 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
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
- 311 / 1735 ms on the provider endpoint; $0.003 per 1,000 decisions
- Calibration file
- span-02.per-language.json (Tacit fit on Norwegian Bokmål 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-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
- 349 / 680 ms on the provider endpoint; $0.021 per 1,000 decisions
- Calibration file
- clef.per-language.json (Tacit fit on Norwegian Bokmål 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
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
- 260 / 397 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
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
- 2059 / 4900 ms on the provider endpoint; $0.018 per 1,000 decisions
- Calibration file
- drex-max.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
- 336 / 401 ms on the provider endpoint; $0.010 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
- 272 / 350 ms on the provider endpoint; $0.011 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
- 300 / 443 ms on the provider endpoint; $0.006 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
- 270 / 326 ms on the provider endpoint; $0.022 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
- 295 / 510 ms on the provider endpoint; $0.033 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
- 268 / 359 ms on the provider endpoint; $0.011 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
- 2376 / 5413 ms on the provider endpoint; $0.005 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
- 352 / 556 ms on the provider endpoint; $0.006 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
- 311 / 1735 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
- 349 / 680 ms on the provider endpoint; $0.021 per 1,000 decisions
- Calibration file
- clef.pooled.json (Tacit fit on pooled dev)
Accuracy by question type
Accuracy per question type on the Norwegian Bokmål 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 |
|---|---|---|---|
| Mammoth-1 | 93.3 | 96.3 | 95.5 |
| basal-omni-1.0-ultra (basal 2.3.3) | 96.3 | 96.3 | 97.4 |
| DREX Max | 93 | 95.9 | 98.1 |
| Microsoft-Decision-1 | 92.7 | 95.2 | 90.4 |
| Liquid d1-ultra | 93.7 | 95.6 | 95.5 |
| pplx-decider-v1.2 | 92.3 | 94.6 | 93.6 |
| Jev 1.14 | 90.3 | 95.6 | 96.8 |
| GPT-6 Luna Decisions | 91 | 93.5 | 93.6 |
| Elephant-1 | 88.3 | 94.2 | 91 |
| Liquid d1.1 | 89.7 | 94.9 | 93.6 |
| Mercury Decide | 87.3 | 94.9 | 92.9 |
| basal-omni-1.0-max (basal 2.3.3) | 86.7 | 92.5 | 96.2 |
| Respan Span-02 | 92.7 | 94.9 | 93.6 |
| basal-omni-1.1-max (basal 2.3.3) | 87.7 | 92.2 | 98.1 |
| basal-omni-1.0-mini (basal 2.3.3) | 85.3 | 91.8 | 91 |
| basal-2.0-max (basal 2.3.3) | 86.3 | 92.5 | 90.4 |
| Cloudflare Clef | 89.7 | 93.2 | 90.4 |
| basal-2.0-4.5B (basal 2.3.3) | 81 | 86.1 | 81.4 |
| basal-omni-pico (basal 2.3.3) | 73.3 | 82.7 | 71.8 |
| basal-2.0-mini (basal 2.3.3) | 72.7 | 78.9 | 62.8 |
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.