Best Open-Weights Decision Models
Open-weights decision models can run next to your data, be fine-tuned and audited. Models are ranked by their Full score on the Jev Decision Index, a third-party board of 37 benchmarks with private held-out sets, until scores from our own Metatext Decision Benchmark are published.
Ranked list (top 25)
| # | Model | Decision Index | ECE | p50 latency | Per 1k decisions | Params |
|---|---|---|---|---|---|---|
| 1 | Lychee-27B LycheeAIOpen weights | 67.3 | 0.108 | 97 ms | — | 26B |
| 2 | vLLM-SR d3 (27B) vLLM Semantic RouterOpen weights | 67.2 | 0.043 | 97 ms | — | 26B |
| 3 | linne-oak-1-0 MISA-AICOREOpen weights | 66.9 | 0.105 | 105 ms | — | 31B |
| 4 | Decider 31B (NVFP4) MapikaOpen weights | 66.0 | 0.024 | 72 ms | — | 33B |
| 5 | bobcat-1.3 sanghwa-naOpen weights | 64.8 | 0.102 | 64 ms | — | 31B |
| 6 | amos-1-large Scira (mukaddamzaid)Open weights | 64.8 | 0.032 | 148 ms | — | — |
| 7 | frontier-infra Jebadiah 27B v2.1 Frontier InfraOpen weights | 64.4 | 0.056 | 303 ms | — | 28B |
| 8 | Sieve-31B Sthānika AIOpen weights | 64.3 | 0.033 | 253 ms | — | 31B |
| 9 | AnyJev L0 · Gemma-4-31B morriszjmOpen weights | 63.6 | 0.240 | 98 ms | — | 31B |
| 10 | deck31b (Gemma 4 31B) krishna-gogineni-765Open weights | 63.0 | 0.204 | 219 ms | — | 33B |
| 11 | Darwin-27B-ZTC FINAL_BenchOpen weights | 63.0 | 0.045 | 104 ms | — | 26B |
| 12 | KnowLine-35B-A3B-Gen1 PelaAIOpen weights | 62.9 | 0.048 | 41 ms | — | 36B |
| 13 | Perplexity Decider v1.1 (27B) PerplexityOpen weights | 62.8 | 0.071 | 104 ms | $0.0040 | 28B |
| 14 | decisio 0.6.0 (Gemma 4 31B) aminryOpen weights | 62.7 | 0.142 | 54 ms | — | 31B |
| 15 | Decider chat · Gemma-4-31B MapikaOpen weights | 61.6 | 0.047 | 109 ms | — | 33B |
| 16 | Torchcast Decision 27B Torchcast AIOpen weights | 61.5 | 0.024 | 100 ms | — | 28B |
| 17 | Qwen Decision 27B noncausal LoRA jsaurabhOpen weights | 61.1 | 0.051 | 127 ms | — | 28B |
| 18 | Quyet-1.0-Large chinhncOpen weights | 60.8 | 0.078 | 105 ms | — | 33B |
| 19 | Sieve 27B Sthānika AIOpen weights | 60.2 | 0.065 | 101 ms | — | 28B |
| 20 | OneJev1.5-27B OmniJevOpen weights | 59.9 | 0.024 | 224 ms | — | 27B |
| 21 | mogan-decision-31B-it Mogan AIOpen weights | 59.8 | 0.054 | 109 ms | — | 31B |
| 22 | Shisa DE-2 (repeat) Shisa.AIOpen weights | 59.8 | 0.207 | 57 ms | — | 26B |
| 23 | linne-fern 1.0 (27B) MISA-AICOREOpen weights | 59.6 | 0.079 | 108 ms | — | 28B |
| 24 | Kev 27B Jared PalmerOpen weights | 59.6 | 0.022 | 135 ms | — | 28B |
| 25 | Xor 26B-A4B v1.1 Juspay TechnologiesOpen weights | 59.4 | 0.068 | 110 ms | — | 26B |
Scores, calibration (ECE) and latency from the Jev Decision Index; cost per 1,000 decisions at 200 input tokens each. Updated daily.
More decision-model rankings
Frequently asked questions
What is the best open-weights decision model?
Lychee-27B ranks first among open-weights decision models on the Jev Decision Index.
Can open decision models replace a hosted API like Jev?
Several open models now score above Jev on the Decision Index. Check licence (some are non-commercial), size and whether they accept the same request shape.