S1 决策指数0.4.1
247 个开源复现与同类决策模型,由 Decision Index 统一复测,按其综合分排名,以 Jev 1.14 为参考。公开基准只展示、不计分。
Decision Index 0.4.1 · 数据更新于 2026年10月29日 14:04 · 本站同步于 2026年10月30日 03:00(每日) · 来源:Hugging Face 上的 Decision Index
最大参数量全部
<100M1B5B10B20B35B+
参考
60.2
Jev 1.14
#1 · 并列
71.9
KnowLine 31B Gen1
71.5
Fastino GLiDE 1.2
#3 · 并列
71.1
Sieve 31B v3
70.5
Turion Jev 31B
#5 · 并列
70.2
vLLM-SR d3-ultra (Decision 3.0, 27B)
69.8
Jeffan-31b-1710
#7 · 并列
68.6
H2O Lightning 31B v1.1
68.5
WeMM-JEV-27B
68.4
baselabs mammoth-1 (27B)
68.2
Ainvest-Decision-27B v1.0
68.1
oenogarum (Gemma 4 31B)
68.0
AutoTrust-JEV-27B v1.1
68.0
Perplexity Decider v1.2 (27B)
67.9
StartLux-Decision v1.1 27B
#15 · 并列
67.6
AJev lm6q (Gemma 4 31B)
67.6
FlexDM · Gemma-4-31B
67.6
MISA AI 2.0 Decision Plus · oak 1.1 (31B)
67.4
Lychee-27B
67.3
vLLM-SR d3-turbo v1.1 (27B)
67.2
vLLM-SR d3 (27B)
67.0
allec-oavg (Gemma 4 31B)
66.9
VisionJEV 1.0.0 (27B)
#23 · 并列
66.7
Aleria Judge 1.1.1 (Gemma 4 31B)
66.6
Bespoke Nimble v4 Max (27B)
66.6
Nace.AI Drex Max v1 (27B)
66.5
AnyJev Tacitus 31B
66.0
Decider 31B (NVFP4)
#28 · 并列
65.8
KnowLine 35B-A3B Gen1.5
65.7
OneShot 27B
65.3
vera-large
#31 · 并列
64.9
Bobcat 1.3 (31B)
64.8
Amos 1 Large (27B)
64.8
Matilda Decision v1
64.6
KnowLine 26B-A4B Gen2.5
64.6
jev-brain · Gemma-4-31B
64.4
frontier-infra Jebadiah 27B v2.1 (t1e)
#37 · 并列
63.7
AnyJev L0 · Gemma-4-31B
63.1
deck31b (Gemma 4 31B)
63.0
Darwin-27B-ZTC
#40
62.7
decisio 0.6.0 (Gemma 4 31B)
#41 · 并列
61.7
Cerno 27B
61.6
Decider chat · Gemma-4-31B
61.5
OneJev1.6-27B
61.5
Torchcast Decision 27B
61.1
Qwen Decision 27B noncausal LoRA
#46 · 并列
60.8
Quyet-1.0-Large
60.3
baselabs elephant-1 (9B)
60.3
garum (Gemma 4 31B)
60.1
Standard One 35B SH (v1)
60.0
Lumma-fev-27B
#51 · 并列
59.9
Sieve 27B v2
59.8
mogan-decision-31B-it
59.7
linne-fern 1.0 (27B)
59.6
Kev 27B
59.4
Xor 26B-A4B v1.2
59.2
Jev 1.13
59.1
span-02 (Gemma 4 26B-A4B)
#58 · 并列
59.0
garas (Gemma 4 31B)
58.8
Eikos-27B
58.8
Shisa DE-2.1 (repeat)
58.8
reflex Qwen3.8-27B-FP8 (pmscr)
58.6
RSI-Jev v6.1 VL 27B (effort auto)
58.4
KnowLine 9B Gen1
#64 · 并列
58.1
StartLux-Decision v1.1 9B
58.0
vLLM-SR Decision 2.0 Vega 27B
57.6
JEV-35B
57.4
JEV-27B
#68 · 并列
57.0
simple-jev · Qwen3.8-27B (featherless)
56.6
Tern-35B-A3B
56.4
Surogate Rune 26B-A4B v3
56.2
SynACK Decide 26B-A4B v7
#72 · 并列
56.0
KnowLine 4B Gen5.5
55.9
Blink v0.3 26B-A4B (NVFP4)
55.6
JADE
55.4
Wald-26B-A4B
55.3
AJev lora1 (Gemma 4 26B-A4B)
#77 · 并列
54.9
Cloudflare clef
54.8
StartLux-Decision v1.1 4B
54.7
Decider chat · Qwen3.6-27B
54.3
Perplexity Decider Flash v1.2 (4B)
54.3
vLLM-SR d3-flash (9B)
54.1
JPT-35B-A3B
#83 · 并列
53.6
Xor 1.2
53.5
GEV-26B-Decide
53.1
OneJev1.6-9B
#86 · 并列
52.8
Nace.AI Drex v2.0 (35B-A3B)
52.6
muria (Gemma 4 12B)
52.2
Jeffan-4B-2010
52.0
Verdin-4B v1.1
#90 · 并列
51.1
Bespoke Nimble 9B v3
51.0
Senova-4B v2
50.9
frontier-infra Jebadiah 9B v2.1 (t1e)
50.8
decisio 0.4.0 (Qwen3.6-35B-A3B)
#94 · 并列
50.0
vLLM-SR d3-mini (4B)
49.5
JoshuaSP diffusiongemma (open-jev)
#96 · 并列
48.9
AJev lora7 (Gemma 4 12B)
48.9
OneJev1.6-4B
48.8
decisio 0.4.0 (Gemma 4 12B)
#99 · 并列
47.7
Mica v0.5 4B
47.5
PurpleMIST-Flash-1.0
47.3
Cerno 9B v1.1
47.0
Sieve 9B v2
#103 · 并列
46.6
Decider 35B-A3B
46.6
Winnow-12B
46.3
Seb-9B v2
46.0
vLLM-SR Decision 2.0 Lux 9B
#107 · 并列
45.8
Hopper 12B (trained)
45.8
Nace.AI Drex v1.5
45.6
Trio-Spark DI (9B)
45.5
CoCo-Decision-4B 2.4
45.0
Cloudflare clef-omni (30B-A3B)
#112 · 并列
44.9
JevK5 9B v0.3.3
44.4
Cloudflare clef-flash
44.4
Jevfire
44.3
RSI-Jev v6.1 VL 4B
44.2
Jegue 0.1 (9B)
44.1
JPT-9B
44.1
jiwo 4B v2
#119 · 并列
43.9
ezjev 4B s2
43.8
Jev-Omni
43.2
Solomon v1.1
#122 · 并列
42.9
Standard One 8B SH (v4)
42.7
Amber Hybrid 4B
42.5
Saif 4B
42.2
JEV-9B
42.1
Bespoke Nimble 9B v2
#127 · 并列
41.7
Sieve 9B
41.2
Cerno 4B v1.1
41.0
Sieve 4B
#130 · 并列
40.9
Kev 9B v2
40.9
Nari Decision 4B v3.2
40.8
Aplomb 1
40.8
vLLM-SR Decision 2.0 Nox 4B
40.2
Hopper (G) 1.2
40.1
StartLux-Decision v1.1 2B
#136 · 并列
39.8
FlyMy.AI Decision 4B v1.6
39.8
Standard One 3B SH (v4)
39.6
JPT-4B
39.5
Amber 4B
#140 · 并列
38.7
Intern-Decision-4B
38.7
RSI-Jev v5.0 VL 3B
38.2
djev
#143 · 并列
37.9
Valen-4B
37.6
razorback16 openjev diffusiongemma (NVFP4, vLLM)
37.3
NeoHorse-Jev-4B
#146 · 并列
36.6
JevK5 v0.3
36.3
Decider 4B
35.9
baselabs joey-1 (2B)
#149 · 并列
35.5
lev
35.4
Lev1 3.7B
34.9
Kev 4B r10
#152 · 并列
34.5
Jev-Style 2B v4
34.5
Sieve 2B v3
34.4
Cam1
34.4
LatentMesh Blitz 2B v1
34.4
Saracura PT-BR 4B
34.3
mmastrac diffusiongemma (vLLM PR 57250)
34.3
vLLM-SR d3-nano (2B)
34.0
Kas 4B
33.7
Tev1-4B-experimental
#161 · 并列
32.7
Winnow-E4B
32.6
Aurelis-2B
32.2
Jevstral 8B
32.2
Metask-Jev-4B
32.0
Ryotide Qwen v0.3.1
#166 · 并列
31.3
Intelif Qwen3-4B
31.2
GLiClass v4 edge (0.4B)
31.1
LiquidAI d1-3B
31.1
open-jev (pngwn)
30.6
vera-core-2
#171 · 并列
30.4
Jobe
29.6
OneJev1.6-0.8B
#173 · 并列
29.4
crystal-0.8b
29.3
Crivo-1B
29.3
vLLM-SR vela3-fast (Vela 3.0, 0.4B)
29.2
Gevva E4B
28.9
StartLux-Decision v1.1 0.8B
28.8
openvons
#179 · 并列
26.7
SemIf
26.5
Saina Helm 2 Omni (0.8B)
26.2
vLLM-SR d3-lite (0.8B)
26.0
Amber 0.4B
#183 · 并列
25.8
jiwo 0.8B v2
25.3
Saina Helm 2.0 v2
#185 · 并列
24.9
this-that 1.2
24.3
Gevva E2B
#187 · 并列
23.7
Crivo-400M
23.7
Decider 2B
23.6
jdi-ptr14-0.8b
23.6
vLLM-SR Decision 2.0 Sol 2B
Jev 1.14 60.2
综合分直接采用数据源发布的数值。悬停柱子查看分项与数据源排名。
参数量 vs 得分帕累托前沿
延迟 vs 得分System1 的核心是“快”
计分方法
分数、排名与并列均直接来自 Decision Index:与公开基准相同技能的私有题(S)、来自新领域的私有题(N),以及仅作对照、不计分的公开基准(P)。
S私有 · 同技能
与 37 个公开基准考察相同能力,但题目从未公开。
N私有 · 新领域
来自 8 个行业的真实决策任务,由认证从业者出题。
P公开基准
灰色展示,用来对照“公开分 − 私有分”的差距,差距大说明可能过拟合。
并列规则:与组首差值在 95% 置信区间内(≈0.8 分)的模型共享名次。
能力领域子榜
数据源按五个能力领域打分,每个领域的第一名不同。点击即可在上方图表中按该领域排名。
正面对比
任选两个模型,逐项对比私有题两部分和 8 个行业子分数。
VS
67.2私有 · 同技能59.3
62.0私有 · 新领域48.3
59.4📚 知识与推理57.1
72.0💬 语言理解61.2
73.0🔎 检索与意图63.5
84.7🛠 工具调用73.8
60.5🎨 艺术与审美39.2
完整结果
点击表头排序。行业列颜色越深分数越高。
| # | 模型 | 类型 | 参数 | 当前得分 ↓ | 同技能 | 新领域 | 公开基准 | 校准误差↓ | 延迟 ms | 来源排名 | 📚 知识与推理 | 💬 语言理解 | 🔎 检索与意图 | 🛠 工具调用 | 🎨 艺术与审美 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1= | KnowLine 31B Gen1 | LoRA | 31.27B | 71.9 | 67.2 | 62.0 | 70.1 | 3.2 | 204 | #1= | 59.4 | 72.0 | 73.0 | 84.7 | 60.5 |
| 1= | Fastino GLiDE 1.2 | 全量微调 | 27.8B | 71.5 | 68.6 | 59.7 | 72.0 | 2.0 | 93 | #2= | 60.6 | 75.5 | 72.2 | 88.0 | 62.6 |
| 3= | Sieve 31B v3 | 全量微调 | 31.27B | 71.1 | 68.5 | 58.9 | 71.7 | 5.4 | 232 | #3= | 61.2 | 71.6 | 76.1 | 86.9 | 62.3 |
| 3= | Turion Jev 31B | LoRA | 31.27B | 70.5 | 65.3 | 61.5 | 66.2 | 1.9 | 144 | #4= | 55.4 | 69.9 | 71.2 | 78.7 | 51.3 |
| 5= | vLLM-SR d3-ultra (Decision 3.0, 27B) | 全量微调 | 26.09B | 70.2 | 66.8 | 59.2 | 71.6 | 6.7 | 201 | #5= | 62.3 | 72.4 | 71.8 | 87.8 | 63.5 |
| 5= | Jeffan-31b-1710 | 全量微调 | 31.27B | 69.8 | 66.2 | 59.1 | 73.1 | 4.7 | 121 | #6= | 63.2 | 76.0 | 72.2 | 89.4 | 63.6 |
| 7= | H2O Lightning 31B v1.1 | 全量微调 | 31.27B | 68.6 | 65.6 | 57.5 | 67.8 | 7.4 | 100 | #7= | 56.5 | 69.6 | 66.9 | 86.3 | 59.7 |
| 7= | WeMM-JEV-27B | 全量微调 | 26.09B | 68.5 | 65.4 | 57.5 | 69.4 | 5.1 | 98 | #8= | 59.0 | 74.1 | 70.1 | 86.0 | 52.4 |
| 7= | baselabs mammoth-1 (27B) | 全量微调 | 27.36B | 68.4 | 66.3 | 56.3 | 75.3 | 4.1 | 220 | #9= | 68.0 | 76.1 | 77.4 | 88.6 | 64.1 |
| 7= | Ainvest-Decision-27B v1.0 | 全量微调 | 26.09B | 68.2 | 64.6 | 57.9 | 71.9 | 4.2 | 99 | #10= | 57.9 | 74.7 | 75.5 | 87.1 | 65.7 |
| 7= | oenogarum (Gemma 4 31B) | 全量微调 | 31.27B | 68.1 | 62.8 | 59.8 | 62.8 | 4.0 | 259 | #11= | 52.3 | 66.0 | 64.6 | 77.3 | 51.5 |
| 7= | AutoTrust-JEV-27B v1.1 | 全量微调 | 27.36B | 68.0 | 64.1 | 58.0 | 67.3 | 6.7 | 80 | #13= | 55.2 | 73.4 | 67.0 | 85.2 | 51.0 |
| 7= | Perplexity Decider v1.2 (27B) | 全量微调 | 26.09B | 68.0 | 64.3 | 57.8 | 67.7 | 5.5 | 144 | #12= | 55.3 | 71.9 | 68.1 | 85.4 | 56.2 |
| 7= | StartLux-Decision v1.1 27B | 全量微调 | 27.78B | 67.9 | 64.8 | 57.0 | 72.9 | 2.6 | 80 | #14= | 60.7 | 75.6 | 74.8 | 87.9 | 66.2 |
| 15= | AJev lm6q (Gemma 4 31B) | LoRA | 31.27B | 67.6 | 63.4 | 58.1 | 65.5 | 9.6 | 144 | #16= | 53.8 | 68.6 | 67.3 | 81.5 | 54.4 |
| 15= | FlexDM · Gemma-4-31B | 推理技巧 | 31.27B | 67.6 | 63.0 | 58.5 | 63.6 | 4.4 | 109 | #17= | 51.1 | 66.4 | 69.4 | 79.7 | 48.0 |
| 15= | MISA AI 2.0 Decision Plus · oak 1.1 (31B) | 全量微调 | 31.27B | 67.6 | 62.6 | 59.2 | 68.2 | 7.2 | 113 | #15= | 54.4 | 70.9 | 71.8 | 85.7 | 57.5 |
| 15= | Lychee-27B | 全量微调 | 26.09B | 67.4 | 62.5 | 58.7 | 62.8 | 10.8 | 97 | #18= | 51.8 | 66.2 | 63.9 | 80.8 | 47.0 |
| 15= | vLLM-SR d3-turbo v1.1 (27B) | 全量微调 | 26.09B | 67.3 | 64.3 | 56.4 | 71.6 | 5.2 | 191 | #19= | 58.9 | 74.5 | 75.8 | 86.9 | 60.9 |
| 15= | vLLM-SR d3 (27B) | 全量微调 | 26.09B | 67.2 | 62.8 | 57.9 | 65.5 | 4.3 | 97 | #20= | 55.3 | 68.0 | 66.9 | 82.6 | 51.0 |
| 15= | allec-oavg (Gemma 4 31B) | 全量微调 | 31.27B | 67.0 | 62.4 | 58.0 | 62.0 | 4.7 | 257 | #21= | 50.7 | 65.2 | 64.8 | 77.6 | 49.0 |
| 15= | VisionJEV 1.0.0 (27B) | 全量微调 | 26.09B | 66.9 | 62.8 | 57.4 | 66.5 | 7.4 | 90 | #22= | 55.8 | 71.4 | 68.0 | 82.7 | 48.7 |
| 23= | Aleria Judge 1.1.1 (Gemma 4 31B) | 推理技巧 | 31.27B | 66.7 | 62.4 | 57.4 | 63.5 | 8.9 | 117 | #23= | 51.0 | 67.9 | 66.2 | 79.0 | 50.3 |
| 23= | Bespoke Nimble v4 Max (27B) | 全量微调 | 27.36B | 66.6 | 62.6 | 57.0 | 68.5 | 6.4 | 107 | #25= | 55.4 | 70.4 | 71.6 | 88.6 | 54.3 |
| 23= | Nace.AI Drex Max v1 (27B) | 全量微调 | 26.09B | 66.6 | 63.1 | 56.5 | 67.5 | 5.7 | 104 | #24= | 57.1 | 72.2 | 68.8 | 81.9 | 53.4 |
| 23= | AnyJev Tacitus 31B | 全量微调 | 31.27B | 66.5 | 62.5 | 56.9 | 65.5 | 2.3 | 95 | #26= | 52.8 | 70.3 | 67.6 | 81.3 | 53.2 |
| 23= | Decider 31B (NVFP4) | 全量微调 | 32.68B | 66.0 | 61.8 | 56.9 | 64.3 | 2.4 | 72 | #27= | 50.3 | 66.7 | 65.5 | 84.2 | 55.2 |
| 28= | KnowLine 35B-A3B Gen1.5 | LoRA | 35.95B | 65.8 | 65.5 | 51.8 | 70.7 | 4.4 | 47 | #28= | 55.0 | 72.9 | 75.4 | 88.3 | 64.2 |
| 28= | OneShot 27B | 全量微调 | 27.78B | 65.7 | 62.1 | 56.0 | 65.4 | 2.3 | 128 | #29= | 52.9 | 70.9 | 65.1 | 81.9 | 54.2 |
| 28= | vera-large | 全量微调 | 25.63B | 65.3 | 61.6 | 55.6 | 67.8 | 5.1 | 160 | #30= | 51.2 | 75.7 | 69.5 | 83.0 | 58.5 |
| 31= | Bobcat 1.3 (31B) | LoRA | 31.27B | 64.9 | 59.9 | 56.8 | 59.3 | 10.2 | 64 | #31= | 48.0 | 61.0 | 65.5 | 76.1 | 40.9 |
| 31= | Amos 1 Large (27B) | 全量微调 | 27.78B | 64.8 | 62.7 | 53.3 | 64.9 | 3.2 | 148 | #32= | 52.4 | 72.4 | 66.1 | 79.2 | 49.5 |
| 31= | Matilda Decision v1 | 全量微调 | 26.09B | 64.8 | 60.3 | 56.1 | 65.4 | 8.6 | 92 | #33= | 51.1 | 71.3 | 67.6 | 84.6 | 47.4 |
| 31= | KnowLine 26B-A4B Gen2.5 | LoRA | 25.81B | 64.6 | 62.8 | 52.7 | 68.2 | 1.9 | 72 | #35= | 55.1 | 71.2 | 70.9 | 83.3 | 61.4 |
| 31= | jev-brain · Gemma-4-31B | 推理技巧 | 31.27B | 64.6 | 61.6 | 54.3 | 61.7 | 13.3 | 101 | #34= | 48.6 | 65.8 | 67.6 | 76.7 | 45.7 |
| 31= | frontier-infra Jebadiah 27B v2.1 (t1e) | LoRA | 27.78B | 64.4 | 59.4 | 56.6 | 60.5 | 5.6 | 303 | #36= | 48.2 | 65.5 | 59.9 | 79.3 | 45.8 |
| 37= | AnyJev L0 · Gemma-4-31B | 推理技巧 | 31.27B | 63.7 | 59.1 | 55.3 | 59.8 | 24.0 | 98 | #37= | 47.8 | 61.7 | 63.5 | 76.4 | 48.0 |
| 37= | deck31b (Gemma 4 31B) | 推理技巧 | 32.68B | 63.1 | 58.6 | 54.8 | 58.2 | 20.4 | 219 | #38= | 46.7 | 60.0 | 62.8 | 75.6 | 42.3 |
| 37= | Darwin-27B-ZTC | 全量微调 | 25.62B | 63.0 | 58.7 | 54.6 | 62.6 | 4.5 | 104 | #39= | 44.7 | 68.5 | 60.9 | 86.7 | 53.3 |
| 40 | decisio 0.6.0 (Gemma 4 31B) | 推理技巧 | 31.27B | 62.7 | 58.5 | 54.2 | 58.1 | 14.2 | 54 | #40 | 47.2 | 59.8 | 62.7 | 75.0 | 41.4 |
| 41= | Cerno 27B | 全量微调 | 26.9B | 61.7 | 59.1 | 51.4 | 65.2 | 7.2 | 54 | #41= | 49.0 | 71.1 | 65.9 | 86.7 | 50.9 |
| 41= | Decider chat · Gemma-4-31B | 推理技巧 | 32.68B | 61.6 | 56.9 | 54.0 | 57.8 | 4.7 | 109 | #42= | 45.5 | 59.5 | 63.1 | 75.6 | 42.2 |
| 41= | OneJev1.6-27B | 全量微调 | 27.36B | 61.5 | 62.5 | 46.8 | 69.6 | 2.7 | 112 | #44= | 57.5 | 71.2 | 73.7 | 85.5 | 59.2 |
| 41= | Torchcast Decision 27B | LoRA | 27.8B | 61.5 | 58.1 | 52.2 | 65.1 | 2.4 | 100 | #43= | 46.7 | 72.0 | 67.5 | 84.6 | 54.4 |
| 41= | Qwen Decision 27B noncausal LoRA | LoRA | 27.78B | 61.1 | 57.7 | 52.0 | 57.7 | 5.1 | 127 | #45= | 42.8 | 62.3 | 57.8 | 80.2 | 43.1 |
| 46= | Quyet-1.0-Large | LoRA | 32.68B | 60.8 | 58.8 | 49.9 | 60.8 | 7.8 | 105 | #46= | 49.7 | 67.0 | 65.8 | 72.6 | 41.9 |
| 46= | baselabs elephant-1 (9B) | 全量微调 | 9.41B | 60.3 | 62.4 | 44.4 | 72.2 | 5.8 | 114 | #48= | 60.6 | 73.8 | 76.2 | 88.0 | 61.6 |
| 46= | garum (Gemma 4 31B) | LoRA | 31.27B | 60.3 | 58.8 | 48.9 | 58.4 | 5.1 | 119 | #47= | 44.8 | 61.8 | 63.3 | 75.0 | 44.2 |
| — | Jev 1.14 | 托管 API | — | 60.2 | 59.3 | 48.3 | 60.7 | 8.0 | 196 | #49= | 57.1 | 61.2 | 63.5 | 73.8 | 39.2 |
| 46= | Standard One 35B SH (v1) | LoRA | 35.11B | 60.1 | 61.8 | 45.0 | 66.3 | 5.4 | 320 | #50= | 52.2 | 66.0 | 72.5 | 86.1 | 54.6 |
| 46= | Lumma-fev-27B | 全量微调 | 26.09B | 60.0 | 56.6 | 51.0 | 57.2 | 6.8 | 100 | #51= | 42.5 | 60.8 | 57.7 | 78.8 | 44.8 |
| 51= | Sieve 27B v2 | LoRA | 27.78B | 59.9 | 60.0 | 46.6 | 68.0 | 5.3 | 106 | #52= | 56.8 | 66.0 | 73.4 | 85.8 | 58.9 |
| 51= | mogan-decision-31B-it | LoRA | 31.27B | 59.8 | 57.7 | 49.4 | 65.6 | 5.4 | 109 | #53= | 51.6 | 70.0 | 69.6 | 79.7 | 56.1 |
| 51= | linne-fern 1.0 (27B) | 全量微调 | 27.78B | 59.7 | 56.5 | 50.4 | 58.9 | 7.9 | 108 | #54= | 44.9 | 62.8 | 62.4 | 79.0 | 41.5 |
| 51= | Kev 27B | 全量微调 | 27.8B | 59.6 | 55.5 | 51.5 | 56.7 | 2.2 | 135 | #55= | 45.7 | 62.6 | 55.8 | 72.7 | 42.7 |
| 51= | Xor 26B-A4B v1.2 | LoRA | 25.81B | 59.4 | 58.7 | 47.3 | 59.5 | 6.8 | 110 | #56= | 45.5 | 63.2 | 64.8 | 72.2 | 51.9 |
| 51= | Jev 1.13 | 托管 API | — | 59.2 | 58.0 | 47.7 | 58.0 | 7.8 | 524 | #57= | 53.9 | 59.2 | 55.4 | 75.1 | 39.1 |
| 51= | span-02 (Gemma 4 26B-A4B) | 全量微调 | 25.81B | 59.1 | 59.3 | 45.8 | 63.6 | 11.4 | 33 | #58= | 52.0 | 65.3 | 65.5 | 83.9 | 48.6 |
| 58= | garas (Gemma 4 31B) | LoRA | 31.27B | 59.0 | 56.6 | 48.9 | 56.6 | 4.9 | 117 | #59= | 43.3 | 58.7 | 61.9 | 73.8 | 43.6 |
| 58= | Eikos-27B | LoRA | 27.78B | 58.8 | 55.9 | 49.4 | 52.9 | 5.7 | 130 | #61= | 40.0 | 52.6 | 55.9 | 74.4 | 41.4 |
| 58= | Shisa DE-2.1 (repeat) | LoRA | 25.81B | 58.8 | 56.6 | 48.7 | 59.2 | 16.5 | 55 | #60= | 47.3 | 61.9 | 64.8 | 76.3 | 40.9 |
| 58= | reflex Qwen3.8-27B-FP8 (pmscr) | 推理技巧 | 27.78B | 58.8 | 57.4 | 47.6 | 57.3 | 4.5 | 149 | #62= | 37.3 | 62.8 | 64.2 | 77.2 | 45.2 |
| 58= | RSI-Jev v6.1 VL 27B (effort auto) | LoRA | 27.78B | 58.6 | 58.2 | 46.3 | 65.6 | 7.7 | 76 | #63= | 51.7 | 69.1 | 69.1 | 81.2 | 57.3 |
| 58= | KnowLine 9B Gen1 | LoRA | 9.65B | 58.4 | 60.8 | 42.7 | 65.7 | 2.8 | 128 | #64= | 47.6 | 69.1 | 71.9 | 82.7 | 59.8 |
| 64= | StartLux-Decision v1.1 9B | 全量微调 | 9.65B | 58.1 | 61.3 | 41.4 | 70.0 | 4.6 | 39 | #65= | 53.4 | 73.1 | 74.3 | 88.2 | 63.1 |
| 64= | vLLM-SR Decision 2.0 Vega 27B | LoRA | 27.8B | 58.0 | 55.7 | 48.1 | 57.0 | 8.6 | 120 | #66= | 46.0 | 59.0 | 60.9 | 73.5 | 42.0 |
| 64= | JEV-35B | LoRA | 35.95B | 57.6 | 56.2 | 46.7 | 59.7 | 8.5 | 51 | #67= | 42.6 | 63.2 | 71.0 | 76.4 | 42.2 |
| 64= | JEV-27B | 全量微调 | 27.8B | 57.4 | 54.2 | 48.6 | 53.6 | 7.6 | 102 | #68= | 41.4 | 56.4 | 53.7 | 73.5 | 41.6 |
| 68= | simple-jev · Qwen3.8-27B (featherless) | 推理技巧 | 27.78B | 57.0 | 55.5 | 46.4 | 56.1 | 11.3 | 373 | #69= | 36.9 | 61.2 | 63.2 | 76.2 | 40.8 |
| 68= | Tern-35B-A3B | 全量微调 | 34.77B | 56.6 | 56.0 | 45.0 | 59.0 | 3.4 | 63 | #70= | 43.2 | 64.9 | 63.5 | 77.0 | 43.0 |
| 68= | Surogate Rune 26B-A4B v3 | 全量微调 | 25.81B | 56.4 | 57.1 | 43.2 | 58.3 | 12.0 | 121 | #71= | 46.0 | 61.9 | 63.5 | 71.2 | 46.5 |
| 68= | SynACK Decide 26B-A4B v7 | LoRA | 25.81B | 56.2 | 56.3 | 43.8 | 59.7 | 6.9 | 129 | #72= | 43.7 | 63.5 | 62.4 | 79.1 | 50.1 |
| 72= | KnowLine 4B Gen5.5 | 全量微调 | 4.66B | 56.0 | 61.2 | 37.3 | 66.8 | 4.7 | 35 | #73= | 47.3 | 68.2 | 74.0 | 87.4 | 61.0 |
| 72= | Blink v0.3 26B-A4B (NVFP4) | 全量微调 | 25.8B | 55.9 | 57.2 | 42.1 | 58.2 | 4.0 | 25 | #74= | 45.1 | 63.6 | 63.0 | 70.0 | 47.0 |
| 72= | JADE | LoRA | 27.8B | 55.6 | 54.3 | 44.9 | 53.4 | 23.8 | 133 | #75= | 41.2 | 56.5 | 54.4 | 73.2 | 39.0 |
| 72= | Wald-26B-A4B | 全量微调 | 25.81B | 55.4 | 56.4 | 41.9 | 62.3 | 4.3 | 90 | #76= | 44.7 | 64.3 | 69.1 | 83.3 | 50.9 |
| 72= | AJev lora1 (Gemma 4 26B-A4B) | LoRA | 25.81B | 55.3 | 54.9 | 43.6 | 57.7 | 4.8 | 89 | #77= | 41.9 | 62.1 | 63.5 | 73.2 | 46.8 |
| 77= | Cloudflare clef | 全量微调 | 27.8B | 54.9 | 53.1 | 45.1 | 61.7 | 4.0 | 102 | #78= | 52.8 | 61.3 | 62.8 | 80.7 | 48.9 |
| 77= | StartLux-Decision v1.1 4B | 全量微调 | 4.66B | 54.8 | 58.6 | 38.1 | 67.8 | 5.2 | 38 | #79= | 50.2 | 71.2 | 73.0 | 86.4 | 60.0 |
| 77= | Decider chat · Qwen3.6-27B | 推理技巧 | 27.78B | 54.7 | 52.2 | 45.7 | 51.6 | 2.1 | 84 | #80= | 38.3 | 55.9 | 52.2 | 71.4 | 37.0 |
| 77= | Perplexity Decider Flash v1.2 (4B) | 全量微调 | 4.54B | 54.3 | 56.2 | 40.0 | 60.1 | 5.2 | 75 | #81= | 41.4 | 65.1 | 65.2 | 81.0 | 46.6 |
| 77= | vLLM-SR d3-flash (9B) | 全量微调 | 8.39B | 54.3 | 54.6 | 41.9 | 57.8 | 5.6 | 54 | #82= | 43.3 | 60.6 | 64.2 | 76.0 | 41.9 |
| 77= | JPT-35B-A3B | LoRA | 35.95B | 54.1 | 52.3 | 44.4 | 52.7 | 4.9 | 250 | #83= | 36.5 | 61.2 | 55.6 | 69.2 | 36.6 |
| 83= | Xor 1.2 | LoRA | 35.95B | 53.6 | 53.6 | 41.8 | 52.3 | 2.4 | 150 | #84= | 35.5 | 56.9 | 54.5 | 71.2 | 45.0 |
| 83= | GEV-26B-Decide | LoRA | 25.8B | 53.5 | 55.0 | 39.9 | 58.0 | 7.2 | 129 | #85= | 43.7 | 61.2 | 67.9 | 69.7 | 45.6 |
| 83= | OneJev1.6-9B | 全量微调 | 9.41B | 53.1 | 56.9 | 36.7 | 65.3 | 2.2 | 42 | #86= | 50.1 | 66.6 | 71.7 | 83.0 | 56.0 |
| 86= | Nace.AI Drex v2.0 (35B-A3B) | 全量微调 | 35.11B | 52.8 | 54.3 | 39.2 | 61.3 | 1.8 | 276 | #87= | 47.9 | 65.3 | 63.0 | 76.5 | 53.9 |
| 86= | muria (Gemma 4 12B) | 全量微调 | 11.96B | 52.6 | 53.5 | 39.8 | 51.4 | 7.1 | 54 | #88= | 31.4 | 56.6 | 58.9 | 70.8 | 39.1 |
| 86= | Jeffan-4B-2010 | 全量微调 | 4.21B | 52.2 | 58.0 | 33.5 | 64.9 | 3.9 | 50 | #89= | 49.5 | 69.8 | 62.8 | 87.4 | 54.6 |
| 86= | Verdin-4B v1.1 | 全量微调 | 4.21B | 52.0 | 54.1 | 37.9 | 61.0 | 6.3 | 200 | #90 | 43.7 | 63.3 | 66.9 | 81.0 | 51.1 |
| 90= | Bespoke Nimble 9B v3 | LoRA | 9.65B | 51.1 | 52.3 | 38.2 | 57.2 | 12.3 | 74 | #91= | 41.0 | 60.7 | 55.5 | 84.2 | 44.1 |
| 90= | Senova-4B v2 | 全量微调 | 4.54B | 51.0 | 55.8 | 33.9 | 66.9 | 14.1 | 53 | #92= | 48.9 | 69.6 | 73.2 | 85.4 | 59.7 |
| 90= | frontier-infra Jebadiah 9B v2.1 (t1e) | LoRA | 9.65B | 50.9 | 51.0 | 39.5 | 51.5 | 5.5 | 125 | #93= | 35.3 | 56.6 | 55.5 | 70.4 | 38.1 |
| 90= | decisio 0.4.0 (Qwen3.6-35B-A3B) | 推理技巧 | 35.95B | 50.8 | 49.2 | 41.6 | 48.4 | 5.5 | 71 | #94= | 33.4 | 50.1 | 53.6 | 68.4 | 36.1 |
| 94= | vLLM-SR d3-mini (4B) | 全量微调 | 4.54B | 50.0 | 51.9 | 36.5 | 54.9 | 5.6 | 50 | #95= | 39.8 | 57.8 | 63.6 | 72.0 | 37.7 |
| 94= | JoshuaSP diffusiongemma (open-jev) | 推理技巧 | 25.82B | 49.5 | 50.0 | 37.9 | 50.1 | 21.6 | 260 | #96= | 32.5 | 54.3 | 58.4 | 70.2 | 32.0 |
| 96= | AJev lora7 (Gemma 4 12B) | LoRA | 11.96B | 48.9 | 50.5 | 36.1 | 55.2 | 8.2 | 69 | #97= | 38.3 | 62.6 | 63.0 | 68.4 | 39.8 |
| 96= | OneJev1.6-4B | 全量微调 | 4.54B | 48.9 | 55.8 | 29.6 | 62.0 | 2.5 | 27 | #98= | 45.0 | 64.4 | 68.9 | 81.5 | 49.8 |
| 96= | decisio 0.4.0 (Gemma 4 12B) | 推理技巧 | 11.96B | 48.8 | 48.4 | 38.3 | 49.7 | 10.3 | 38 | #99= | 30.8 | 52.4 | 58.0 | 71.6 | 35.3 |
| 99= | Mica v0.5 4B | 全量微调 | 4.66B | 47.7 | 52.3 | 31.5 | 57.6 | 10.1 | 20 | #100= | 38.8 | 63.1 | 61.7 | 80.9 | 40.8 |
| 99= | PurpleMIST-Flash-1.0 | LoRA | 7.94B | 47.5 | 48.2 | 36.1 | 46.7 | 3.2 | 53 | #101= | 34.9 | 53.1 | 47.5 | 65.1 | 25.5 |
| 99= | Cerno 9B v1.1 | 全量微调 | 8.95B | 47.3 | 52.4 | 30.6 | 58.6 | 4.8 | 27 | #102= | 39.3 | 64.3 | 65.1 | 79.2 | 43.0 |
| 99= | Sieve 9B v2 | LoRA | 9.65B | 47.0 | 49.3 | 33.7 | 53.4 | 7.3 | 51 | #103= | 38.3 | 55.9 | 64.2 | 69.8 | 34.0 |
| 103= | Decider 35B-A3B | 全量微调 | 35.95B | 46.6 | 45.1 | 38.1 | 47.7 | 2.3 | 101 | #104= | 35.9 | 52.8 | 54.7 | 56.5 | 35.2 |
| 103= | Winnow-12B | LoRA | 11.96B | 46.6 | 48.1 | 34.3 | 50.7 | 16.8 | 73 | #105= | 34.8 | 57.0 | 54.1 | 71.0 | 31.4 |
| 103= | Seb-9B v2 | LoRA | 9.65B | 46.3 | 52.9 | 27.8 | 59.2 | 11.1 | 89 | #106= | 39.9 | 62.2 | 63.5 | 83.1 | 48.9 |
| 103= | vLLM-SR Decision 2.0 Lux 9B | 全量微调 | 9.65B | 46.0 | 47.4 | 34.0 | 46.8 | 5.6 | 37 | #107= | 35.5 | 46.9 | 55.7 | 60.4 | 33.1 |
| 107= | Hopper 12B (trained) | LoRA | 11.96B | 45.8 | 47.0 | 34.1 | 48.3 | 7.6 | 290 | #109= | 31.7 | 53.8 | 53.2 | 66.3 | 34.2 |
| 107= | Nace.AI Drex v1.5 | 全量微调 | 8.95B | 45.8 | 49.7 | 30.8 | 58.1 | 9.0 | 54 | #108= | 44.6 | 60.4 | 61.7 | 75.0 | 48.8 |
| 107= | Trio-Spark DI (9B) | 全量微调 | 8.95B | 45.6 | 50.5 | 29.4 | 55.5 | 12.7 | 209 | #110= | 39.2 | 59.4 | 58.8 | 76.6 | 42.8 |
| 107= | CoCo-Decision-4B 2.4 | LoRA | 4.21B | 45.5 | 51.7 | 27.8 | 55.2 | 11.4 | 62 | #111= | 35.6 | 62.6 | 58.7 | 77.3 | 39.1 |
| 107= | Cloudflare clef-omni (30B-A3B) | 全量微调 | 31.83B | 45.0 | 46.5 | 33.2 | 56.5 | 4.0 | 191 | #112= | 53.8 | 49.8 | 59.3 | 72.6 | 46.4 |
| 112= | JevK5 9B v0.3.3 | LoRA | 9.65B | 44.9 | 48.2 | 30.8 | 47.6 | 6.0 | 40 | #113= | 31.6 | 54.7 | 50.0 | 64.1 | 35.7 |
| 112= | Cloudflare clef-flash | 全量微调 | 9.65B | 44.4 | 44.0 | 35.0 | 56.2 | 2.5 | 53 | #114= | 53.0 | 47.2 | 52.2 | 81.9 | 48.4 |
| 112= | Jevfire | 推理技巧 | 27.78B | 44.4 | 46.9 | 31.4 | 49.8 | 5.2 | 90 | #115= | 30.3 | 53.9 | 56.2 | 72.3 | 35.7 |
| 112= | RSI-Jev v6.1 VL 4B | 全量微调 | 4.66B | 44.3 | 48.0 | 29.8 | 51.0 | 4.9 | 58 | #116= | 31.6 | 55.3 | 57.1 | 68.4 | 45.7 |
| 112= | Jegue 0.1 (9B) | LoRA | 9.65B | 44.2 | 48.8 | 28.6 | 54.1 | 11.6 | 46 | #117= | 33.5 | 62.5 | 65.5 | 72.3 | 29.8 |
| 112= | JPT-9B | LoRA | 9.65B | 44.1 | 43.5 | 35.0 | 47.0 | 7.7 | 149 | #119= | 30.9 | 57.7 | 44.6 | 67.0 | 28.8 |
| 112= | jiwo 4B v2 | 全量微调 | 4.21B | 44.1 | 47.2 | 30.4 | 46.1 | 6.8 | 50 | #118= | 29.1 | 52.9 | 51.7 | 63.1 | 29.8 |
| 119= | ezjev 4B s2 | LoRA | 4.66B | 43.9 | 46.2 | 31.2 | 50.8 | 6.3 | 36 | #120= | 31.0 | 60.5 | 56.3 | 69.9 | 31.2 |
| 119= | Jev-Omni | LoRA | 11.96B | 43.8 | 42.2 | 36.0 | 41.0 | 16.1 | 55 | #121= | 26.1 | 51.3 | 35.8 | 60.8 | 27.4 |
| 119= | Solomon v1.1 | Head / Adapter | 27.78B | 43.2 | 37.0 | 41.3 | 38.1 | 8.1 | 224 | #122= | 27.8 | 56.7 | 26.0 | 47.0 | 24.5 |
| 122= | Standard One 8B SH (v4) | LoRA | 8.92B | 42.9 | 50.4 | 24.1 | 57.4 | 10.7 | 90 | #123= | 36.9 | 57.9 | 66.4 | 84.0 | 42.5 |
| 122= | Amber Hybrid 4B | 推理技巧 | 4.61B | 42.7 | 50.4 | 23.7 | 59.9 | 4.6 | 274 | #124= | 36.7 | 60.1 | 68.9 | 84.9 | 55.3 |
| 122= | Saif 4B | LoRA | 4.21B | 42.5 | 44.2 | 30.8 | 50.8 | 5.0 | 95 | #125= | 29.9 | 54.4 | 62.0 | 71.3 | 35.1 |
| 122= | JEV-9B | 全量微调 | 9.65B | 42.2 | 42.8 | 31.9 | 43.3 | 7.3 | 50 | #126= | 30.7 | 44.2 | 46.5 | 62.1 | 32.8 |
| 122= | Bespoke Nimble 9B v2 | LoRA | 9.65B | 42.1 | 39.5 | 35.7 | 39.9 | 2.4 | 77 | #127= | 30.5 | 44.3 | 34.9 | 59.2 | 27.6 |
| 127= | Sieve 9B | LoRA | 9.65B | 41.7 | 42.9 | 31.0 | 41.9 | 4.3 | 50 | #128= | 29.0 | 45.6 | 46.1 | 61.3 | 21.9 |
| 127= | Cerno 4B v1.1 | 全量微调 | 4.21B | 41.2 | 47.4 | 24.2 | 57.6 | 5.0 | 27 | #129= | 34.5 | 63.0 | 65.9 | 82.9 | 40.6 |
| 127= | Sieve 4B | LoRA | 4.66B | 41.0 | 45.2 | 26.6 | 50.1 | 3.1 | 93 | #130= | 33.9 | 53.9 | 61.6 | 66.8 | 28.3 |
| 130= | Kev 9B v2 | LoRA | 9.65B | 40.9 | 42.4 | 29.9 | 41.5 | 4.5 | 60 | #131= | 30.8 | 46.7 | 46.8 | 56.9 | 17.5 |
| 130= | Nari Decision 4B v3.2 | 全量微调 | 4.22B | 40.9 | 43.4 | 28.6 | 44.8 | 6.9 | 23 | #132= | 28.7 | 44.5 | 59.8 | 62.1 | 25.4 |
| 130= | Aplomb 1 | LoRA | 5.3B | 40.8 | 42.3 | 29.7 | 43.5 | 7.5 | 54 | #133= | 29.9 | 47.2 | 44.5 | 61.6 | 34.0 |
| 130= | vLLM-SR Decision 2.0 Nox 4B | LoRA | 4.21B | 40.8 | 43.7 | 27.9 | 44.2 | 3.0 | 34 | #134= | 31.4 | 46.4 | 52.4 | 60.1 | 26.3 |
| 130= | Hopper (G) 1.2 | LoRA | 4.66B | 40.2 | 42.4 | 28.4 | 41.2 | 9.3 | 23 | #135= | 24.6 | 45.7 | 45.4 | 60.1 | 29.2 |
| 130= | StartLux-Decision v1.1 2B | 全量微调 | 2.27B | 40.1 | 51.5 | 17.0 | 59.2 | 3.5 | 30 | #136= | 36.2 | 62.4 | 69.7 | 79.0 | 53.7 |
| 136= | FlyMy.AI Decision 4B v1.6 | LoRA | 4.66B | 39.8 | 43.1 | 26.8 | 42.7 | 4.6 | 27 | #137= | 26.4 | 46.3 | 45.3 | 59.8 | 39.0 |
| 136= | Standard One 3B SH (v4) | LoRA | 3.85B | 39.8 | 49.8 | 18.5 | 58.1 | 11.4 | 80 | #138= | 36.3 | 57.5 | 67.0 | 85.7 | 47.5 |
| 136= | JPT-4B | LoRA | 4.66B | 39.6 | 40.1 | 29.9 | 42.8 | 7.9 | 139 | #139= | 26.5 | 53.7 | 45.0 | 57.2 | 26.1 |
| 136= | Amber 4B | LoRA | 4.21B | 39.5 | 48.2 | 19.8 | 52.1 | 5.7 | 128 | #140= | 34.7 | 58.3 | 54.6 | 71.9 | 40.1 |
| 140= | Intern-Decision-4B | 全量微调 | 4.66B | 38.7 | 39.1 | 29.4 | 38.0 | 2.8 | 44 | #141= | 23.0 | 42.5 | 40.3 | 55.7 | 28.2 |
| 140= | RSI-Jev v5.0 VL 3B | 全量微调 | 4.66B | 38.7 | 38.7 | 29.9 | 38.1 | 4.8 | 19 | #142= | 24.1 | 45.0 | 43.0 | 52.8 | 19.9 |
| 140= | djev | 推理技巧 | 25.82B | 38.2 | 41.6 | 25.2 | 40.9 | 21.2 | 84 | #143= | 25.9 | 50.0 | 41.8 | 51.7 | 34.4 |
| 143= | Valen-4B | 全量微调 | 4.54B | 37.9 | 39.1 | 27.7 | 38.7 | 10.7 | 236 | #144= | 27.4 | 46.3 | 41.9 | 52.1 | 17.4 |
| 143= | razorback16 openjev diffusiongemma (NVFP4, vLLM) | 推理技巧 | 25.82B | 37.6 | 39.7 | 26.4 | 37.8 | 23.2 | 38 | #145= | 25.7 | 45.5 | 37.0 | 47.2 | 33.1 |
| 143= | NeoHorse-Jev-4B | Head / Adapter | 4.66B | 37.3 | 36.9 | 29.2 | 37.0 | 10.4 | 49 | #146= | 23.6 | 39.6 | 43.9 | 58.9 | 11.0 |
| 146= | JevK5 v0.3 | LoRA | 4.66B | 36.6 | 41.8 | 21.9 | 41.1 | 6.1 | 26 | #147= | 25.9 | 46.6 | 44.5 | 56.9 | 30.8 |
| 146= | Decider 4B | 全量微调 | 4.66B | 36.3 | 37.2 | 26.9 | 41.2 | 8.4 | 13 | #148= | 27.7 | 44.0 | 44.7 | 58.6 | 30.0 |
| 146= | baselabs joey-1 (2B) | 全量微调 | 2.72B | 35.9 | 50.2 | 10.2 | 63.3 | 4.4 | 85 | #149= | 45.1 | 62.8 | 71.2 | 85.8 | 54.7 |
| 149= | lev | LoRA | 4.66B | 35.5 | 37.2 | 25.2 | 39.2 | 6.4 | 71 | #150= | 22.8 | 39.1 | 47.9 | 57.5 | 30.8 |
| 149= | Lev1 3.7B | LoRA | 3.7B | 35.4 | 41.5 | 19.9 | 42.7 | 5.8 | 29 | #151= | 23.1 | 44.3 | 47.1 | 68.8 | 32.4 |
| 149= | Kev 4B r10 | LoRA | 4.66B | 34.9 | 36.2 | 25.4 | 38.0 | 3.2 | 59 | #152= | 26.3 | 41.8 | 42.5 | 55.0 | 17.9 |
| 152= | Jev-Style 2B v4 | 全量微调 | 2.21B | 34.5 | 41.9 | 17.6 | 44.4 | 11.0 | 40 | #153= | 23.6 | 42.5 | 65.4 | 61.8 | 29.0 |
| 152= | Sieve 2B v3 | LoRA | 2.27B | 34.5 | 45.8 | 12.6 | 53.5 | 7.2 | 43 | #154= | 30.9 | 49.3 | 66.5 | 80.5 | 47.6 |
| 152= | Cam1 | LoRA | 4.66B | 34.4 | 32.3 | 29.0 | 30.7 | 6.3 | 249 | #157= | 19.2 | 33.8 | 36.9 | 46.3 | 11.5 |
| 152= | LatentMesh Blitz 2B v1 | LoRA | 2.27B | 34.4 | 44.2 | 14.5 | 48.2 | 13.7 | 52 | #155= | 22.3 | 54.0 | 60.4 | 66.5 | 41.8 |
| 152= | Saracura PT-BR 4B | LoRA | 4.66B | 34.4 | 35.0 | 25.9 | 38.0 | 17.9 | 62 | #156= | 25.3 | 41.9 | 46.2 | 53.9 | 14.9 |
| 152= | mmastrac diffusiongemma (vLLM PR 57250) | 推理技巧 | 25.82B | 34.3 | 33.4 | 27.4 | 32.7 | 20.2 | 127 | #159= | 25.0 | 46.5 | 24.2 | 34.0 | 31.7 |
| 152= | vLLM-SR d3-nano (2B) | 全量微调 | 2.21B | 34.3 | 42.5 | 16.4 | 42.2 | 11.2 | 38 | #158= | 25.3 | 42.2 | 58.8 | 58.9 | 22.4 |
| 152= | Kas 4B | LoRA | 4.02B | 34.0 | 38.7 | 20.4 | 38.4 | 9.8 | 69 | #160= | 32.2 | 35.1 | 40.4 | 48.9 | 39.4 |
| 152= | Tev1-4B-experimental | 全量微调 | 4.66B | 33.7 | 31.8 | 28.4 | 29.5 | 10.4 | 36 | #161= | 24.3 | 39.2 | 15.5 | 41.8 | 23.5 |
| 161= | Winnow-E4B | LoRA | 8B | 32.7 | 36.8 | 20.2 | 40.9 | 5.8 | 45 | #162= | 22.8 | 46.8 | 43.8 | 62.5 | 26.9 |
| 161= | Aurelis-2B | 全量微调 | 2.52B | 32.6 | 44.7 | 10.1 | 51.3 | 6.5 | 74 | #163= | 32.2 | 54.1 | 54.2 | 79.5 | 35.9 |
| 161= | Jevstral 8B | LoRA | 8B | 32.2 | 36.3 | 19.8 | 34.0 | 4.7 | 28 | #164= | 24.7 | 33.6 | 39.2 | 52.9 | 14.1 |
| 161= | Metask-Jev-4B | LoRA | 4.66B | 32.2 | 27.8 | 30.1 | 27.6 | 10.4 | 57 | #165= | 21.6 | 40.1 | 12.9 | 37.6 | 21.9 |
| 161= | Ryotide Qwen v0.3.1 | 推理技巧 | 4B | 32.0 | 36.7 | 18.8 | 37.3 | 9.2 | 81 | #166= | 21.0 | 36.0 | 47.5 | 55.1 | 29.8 |
| 166= | Intelif Qwen3-4B | LoRA | 4.02B | 31.3 | 35.9 | 18.4 | 32.5 | 7.1 | 23 | #167= | 19.5 | 31.2 | 39.6 | 51.0 | 21.3 |
| 166= | GLiClass v4 edge (0.4B) | 全量微调 | 0.44B | 31.2 | 42.2 | 10.5 | 47.5 | 8.9 | 22 | #168= | 21.4 | 54.6 | 66.7 | 58.1 | 38.6 |
| 166= | LiquidAI d1-3B | 全量微调 | 3.12B | 31.1 | 41.2 | 11.5 | 49.0 | 4.7 | 16 | #169= | 24.3 | 56.5 | 52.8 | 74.5 | 38.9 |
| 166= | open-jev (pngwn) | LoRA | 4.66B | 31.1 | 30.0 | 25.2 | 30.5 | 5.9 | 112 | #170= | 22.8 | 34.7 | 29.1 | 45.7 | 14.5 |
| 166= | vera-core-2 | 全量微调 | 1.88B | 30.6 | 39.6 | 12.5 | 41.3 | 4.6 | 90 | #171= | 21.4 | 43.9 | 53.8 | 61.5 | 23.9 |
| 171= | Jobe | 推理技巧 | 4.66B | 30.4 | 34.3 | 18.4 | 32.9 | 12.3 | 54 | #172= | 18.5 | 34.8 | 36.7 | 48.8 | 28.9 |
| 171= | OneJev1.6-0.8B | 全量微调 | 0.85B | 29.6 | 40.5 | 9.3 | 48.8 | 3.5 | 13 | #173= | 26.1 | 48.1 | 63.4 | 72.9 | 35.6 |
| 173= | crystal-0.8b | 全量微调 | 0.85B | 29.4 | 39.3 | 10.3 | 42.8 | 1.7 | 54 | #174= | 19.1 | 44.8 | 55.4 | 64.9 | 33.4 |
| 173= | Crivo-1B | 全量微调 | 1.03B | 29.3 | 38.8 | 10.8 | 47.8 | 15.1 | 16 | #176= | 18.5 | 56.3 | 55.8 | 78.7 | 28.9 |
| 173= | vLLM-SR vela3-fast (Vela 3.0, 0.4B) | 全量微调 | 0.38B | 29.3 | 40.2 | 9.0 | 50.4 | 12.1 | 54 | #175= | 21.2 | 53.1 | 66.9 | 73.7 | 43.1 |
| 173= | Gevva E4B | 全量微调 | 8B | 29.2 | 31.0 | 20.2 | 32.4 | 14.5 | 53 | #177= | 17.9 | 27.6 | 40.0 | 56.9 | 22.6 |
| 173= | StartLux-Decision v1.1 0.8B | 全量微调 | 0.87B | 28.9 | 41.3 | 6.9 | 53.8 | 1.5 | 30 | #178= | 28.5 | 55.5 | 66.5 | 74.6 | 51.1 |
| 173= | openvons | 推理技巧 | 4.02B | 28.8 | 32.1 | 17.9 | 28.7 | 37.1 | 21 | #179= | 19.5 | 30.7 | 25.4 | 44.7 | 24.4 |
| 179= | SemIf | 推理技巧 | 4.66B | 26.7 | 28.0 | 18.7 | 26.5 | 9.9 | 113 | #180= | 17.9 | 34.0 | 15.7 | 39.1 | 27.9 |
| 179= | Saina Helm 2 Omni (0.8B) | LoRA | 0.85B | 26.5 | 35.2 | 9.6 | 37.4 | 10.0 | 39 | #181= | 15.3 | 39.3 | 50.2 | 59.7 | 23.7 |
| 179= | vLLM-SR d3-lite (0.8B) | 全量微调 | 0.85B | 26.2 | 34.8 | 9.3 | 36.9 | 9.4 | 37 | #182= | 18.6 | 34.2 | 53.7 | 56.3 | 22.3 |
| 179= | Amber 0.4B | 全量微调 | 0.4B | 26.0 | 35.7 | 7.9 | 49.7 | 7.5 | 43 | #183= | 18.9 | 48.7 | 64.4 | 78.9 | 49.6 |
| 183= | jiwo 0.8B v2 | 全量微调 | 0.75B | 25.8 | 30.7 | 13.7 | 29.6 | 6.8 | 36 | #184= | 10.9 | 36.1 | 44.2 | 40.3 | 12.2 |
| 183= | Saina Helm 2.0 v2 | LoRA | 0.85B | 25.3 | 34.7 | 7.8 | 39.3 | 16.8 | 39 | #185= | 16.6 | 44.1 | 50.5 | 61.3 | 22.5 |
| 185= | this-that 1.2 | 全量微调 | 1.88B | 24.9 | 27.5 | 15.7 | 28.7 | 19.8 | 44 | #186= | 16.6 | 31.5 | 32.8 | 45.0 | 14.2 |
| 185= | Gevva E2B | 全量微调 | 5.1B | 24.3 | 27.8 | 14.1 | 28.5 | 9.0 | 43 | #187= | 11.9 | 25.0 | 38.6 | 52.5 | 16.5 |
| 187= | Crivo-400M | 全量微调 | 0.4B | 23.7 | 30.7 | 9.5 | 39.8 | 12.1 | 17 | #188= | 11.5 | 44.3 | 51.0 | 69.0 | 25.4 |
| 187= | Decider 2B | 全量微调 | 2.27B | 23.7 | 28.5 | 12.0 | 29.8 | 7.7 | 8 | #189= | 17.2 | 32.2 | 37.3 | 42.4 | 17.6 |
| 187= | jdi-ptr14-0.8b | 全量微调 | 0.75B | 23.6 | 31.3 | 8.4 | 35.8 | 4.2 | 67 | #191= | 13.5 | 40.3 | 52.6 | 53.0 | 16.8 |
| 187= | vLLM-SR Decision 2.0 Sol 2B | 全量微调 | 2.27B | 23.6 | 29.3 | 11.1 | 30.1 | 3.7 | 26 | #190= | 16.2 | 24.6 | 45.6 | 48.8 | 14.4 |
| 191= | mini-jev | 推理技巧 | 4.02B | 22.8 | 23.4 | 16.6 | 21.3 | 34.6 | 67 | #192= | 15.8 | 29.8 | 8.7 | 28.4 | 25.3 |
| 191= | Valen-2B | 全量微调 | 2.21B | 22.2 | 24.3 | 14.2 | 27.0 | 10.5 | 161 | #193= | 14.8 | 30.4 | 26.2 | 45.1 | 17.8 |
| 191= | vLLM-SR vela3-fast-vision (Vela 3.0, 0.25B) | 全量微调 | 0.25B | 22.1 | 30.5 | 6.5 | 37.5 | 11.2 | 37 | #194= | 13.2 | 36.6 | 54.9 | 51.8 | 41.5 |
| 194= | Sieve 2B | LoRA | 2.27B | 21.9 | 23.7 | 14.4 | 22.2 | 8.9 | 63 | #195= | 10.4 | 20.8 | 28.5 | 35.3 | 19.5 |
| 194= | wyat-1-800m | LoRA | 0.87B | 21.5 | 25.2 | 11.7 | 25.8 | 23.2 | 112 | #196= | 11.3 | 20.4 | 43.0 | 41.9 | 13.2 |
| 196= | Intern-Decision-2B | 全量微调 | 2.27B | 20.9 | 23.3 | 12.9 | 19.3 | 6.1 | 34 | #197= | 12.0 | 21.3 | 15.7 | 33.3 | 14.4 |
| 196= | Sieve 0.8B | 全量微调 | 0.59B | 20.8 | 26.0 | 9.3 | 32.3 | 8.8 | 52 | #198= | 14.3 | 26.6 | 54.8 | 51.2 | 13.5 |
| 196= | Strands Decider 2B | LoRA | 1.9B | 20.7 | 22.4 | 13.5 | 25.4 | 4.4 | 52 | #199= | 11.2 | 25.7 | 34.0 | 43.8 | 10.7 |
| 196= | EXAONE-4.0-1.2B-JEV v0.3 | 全量微调 | 1.28B | 20.6 | 26.9 | 7.8 | 30.7 | 7.9 | 149 | #200= | 15.0 | 26.6 | 40.9 | 56.6 | 13.9 |
| 200= | tasksource Decider nano v5 (150M) | 全量微调 | 0.15B | 19.9 | 26.1 | 7.3 | 33.5 | 7.0 | 13 | #201= | 9.7 | 38.7 | 50.1 | 50.9 | 16.6 |
| 200= | Crivo-68M | 全量微调 | 0.07B | 19.5 | 25.3 | 7.6 | 32.8 | 10.3 | 12 | #202= | 5.0 | 30.8 | 48.8 | 64.0 | 20.9 |
| 202= | JEV Ettin 150M | 全量微调 | 0.15B | 18.5 | 25.5 | 5.4 | 37.3 | 12.9 | 77 | #203= | 14.5 | 43.2 | 52.1 | 60.4 | 9.4 |
| 202= | vLLM-SR Decision 2.0 Eos 0.8B | 全量微调 | 0.87B | 18.4 | 21.3 | 10.2 | 20.6 | 13.0 | 25 | #204= | 7.0 | 15.3 | 38.4 | 34.0 | 8.9 |
| 202= | Crivo-150M v2 | 全量微调 | 0.15B | 18.3 | 24.9 | 5.5 | 34.4 | 11.5 | 13 | #205= | 8.3 | 34.5 | 48.2 | 62.8 | 21.8 |
| 202= | Bekko System One v0 400M | 全量微调 | 0.4B | 18.0 | 21.6 | 9.1 | 22.5 | 11.1 | 17 | #206= | 11.6 | 24.0 | 42.2 | 18.6 | 13.9 |
| 202= | Mola-150M | 全量微调 | 0.15B | 17.8 | 23.6 | 6.3 | 31.3 | 8.0 | 13 | #207= | 12.0 | 30.2 | 51.4 | 50.1 | 9.9 |
| 207= | vLLM-SR d3-edge (0.6B) | 全量微调 | 0.59B | 17.7 | 24.3 | 5.0 | 28.8 | 14.1 | 19 | #208= | 11.1 | 24.2 | 53.6 | 42.7 | 11.8 |
| 207= | Mola-68M | 全量微调 | 0.07B | 17.6 | 22.0 | 7.7 | 27.3 | 11.9 | 11 | #209= | 7.9 | 23.3 | 49.4 | 47.9 | 5.7 |
| 207= | JEV FLAN-T5 Large public v2 (342M) | 全量微调 | — | 17.3 | 19.8 | 9.9 | 22.0 | 4.7 | 17 | #210= | 12.4 | 29.7 | 35.5 | 17.6 | 8.1 |
| 207= | DecisionTune 1.0 | 全量微调 | 0.39B | 17.2 | 22.1 | 6.8 | 28.9 | 14.8 | 14 | #211= | 11.7 | 29.9 | 45.0 | 46.5 | 5.7 |
| 211= | Valen-0.8B | 全量微调 | 0.85B | 16.6 | 19.6 | 8.6 | 20.8 | 10.8 | 200 | #212= | 10.2 | 24.8 | 20.6 | 35.6 | 11.2 |
| 211= | Bosun v3.1 1.7B | LoRA | 1.72B | 16.5 | 20.4 | 7.5 | 20.6 | 13.0 | 40 | #213= | 4.8 | 13.5 | 42.8 | 34.8 | 9.0 |
| 211= | Dinah-1 | 全量微调 | 0.15B | 16.4 | 22.3 | 4.9 | 34.3 | 21.8 | 14 | #215= | 23.1 | 23.1 | 50.7 | 62.2 | 8.6 |
| 211= | vLLM-SR Decision 2.0 Kai 0.6B | 全量微调 | 0.6B | 16.4 | 16.9 | 11.6 | 16.7 | 3.8 | 19 | #214= | 6.4 | 11.6 | 32.0 | 26.7 | 7.4 |
| 211= | Kev 0.8B r15 | LoRA | 0.87B | 16.3 | 15.8 | 12.7 | 16.8 | 4.0 | 45 | #216= | 7.0 | 14.2 | 22.1 | 35.5 | 3.8 |
| 216= | PICK-150M v5 | 全量微调 | 0.15B | 15.6 | 19.8 | 6.5 | 32.1 | 12.5 | 16 | #217= | 8.0 | 35.5 | 45.2 | 59.9 | 8.4 |
| 216= | JPT-0.8B | LoRA | 0.87B | 15.5 | 17.8 | 8.6 | 19.4 | 6.9 | 118 | #218= | 8.2 | 25.2 | 16.4 | 36.2 | 8.4 |
| 216= | JEV Ettin 400M | 全量微调 | 0.4B | 15.2 | 14.8 | 11.8 | 14.1 | 9.0 | 16 | #219= | 8.7 | 12.9 | 26.3 | 14.8 | 5.8 |
| 219= | Sifr 0.8B v3.1 | 全量微调 | 0.87B | 14.5 | 18.9 | 5.3 | 25.7 | 12.0 | 35 | #220= | 13.2 | 23.1 | 45.5 | 35.9 | 5.8 |
| 219= | Crivo-32M v2 | 全量微调 | 0.03B | 14.2 | 18.4 | 5.3 | 27.3 | 13.3 | 8 | #221= | 2.7 | 25.0 | 45.6 | 50.0 | 19.0 |
| 219= | Prumo | 推理技巧 | — | 14.0 | 15.8 | 8.1 | 20.1 | 4.7 | 0 | #222= | 17.0 | 3.1 | 26.6 | 45.3 | 13.4 |
| 219= | Kodiak v0.2 1B (accuracy) | 全量微调 | 3B | 13.9 | 16.3 | 7.1 | 19.1 | 7.7 | 142 | #223= | 13.5 | 15.3 | 36.2 | 15.1 | 15.9 |
| 223= | Intern-Decision-0.8B | 全量微调 | 0.87B | 12.7 | 12.9 | 9.0 | 11.8 | 2.6 | 34 | #224= | 6.8 | 10.9 | 6.4 | 28.4 | 7.7 |
| 223= | Jev-Style 0.8B v3 | 全量微调 | 0.87B | 12.5 | 14.7 | 6.4 | 17.0 | 8.4 | 36 | #225= | 5.4 | 11.9 | 26.2 | 35.4 | 8.3 |
| 223= | Tev1-0.8B-experimental | 全量微调 | 0.87B | 12.5 | 12.8 | 8.6 | 13.1 | 12.6 | 29 | #226= | 6.8 | 15.3 | 4.9 | 32.0 | 5.9 |
| 223= | Bekko System One v0 68M | 全量微调 | 0.07B | 12.4 | 12.6 | 8.7 | 13.0 | 11.3 | 12 | #227= | 4.0 | 6.4 | 32.2 | 14.1 | 13.1 |
| 227= | LiquidAI d1-omni-600M | 全量微调 | 0.59B | 11.8 | 12.9 | 7.1 | 17.9 | 12.8 | 11 | #228= | 6.6 | 19.3 | 35.0 | 19.5 | 6.5 |
| 227= | Crivo-17M | 全量微调 | 0.02B | 11.7 | 15.9 | 3.2 | 22.2 | 8.0 | 6 | #229= | 1.2 | 21.0 | 40.1 | 36.5 | 17.0 |
| 227= | Von 1.3 | 全量微调 | 0.4B | 11.7 | 12.8 | 7.0 | 13.9 | 21.6 | 18 | #230= | 9.3 | 11.6 | 30.1 | 11.7 | 2.7 |
| 230= | Bosun v3.1 0.6B | LoRA | 0.6B | 11.0 | 14.1 | 4.2 | 14.5 | 14.2 | 39 | #231= | 2.6 | 4.3 | 34.2 | 28.4 | 6.7 |
| 230= | vera-spark | 全量微调 | 0.64B | 11.0 | 15.1 | 2.8 | 19.6 | 15.7 | 80 | #232= | 10.1 | 24.9 | 30.1 | 18.1 | 12.4 |
| 230= | Lavoir | 全量微调 | 0.4B | 10.9 | 9.9 | 8.9 | 8.9 | 14.9 | 20 | #233= | 2.8 | 11.5 | 12.0 | 13.0 | 3.9 |
| 233 | GLiNER2.5-Decide | 全量微调 | 0.49B | 10.1 | 12.1 | 4.9 | 11.5 | 8.8 | 23 | #234 | 2.3 | 8.3 | 25.3 | 14.8 | 9.8 |
| 234= | Laya | 全量微调 | 0.42B | 9.2 | 9.1 | 6.6 | 6.2 | 14.0 | 6 | #235= | 2.9 | 10.1 | 7.2 | 5.8 | 3.5 |
| 234= | JevK5 Lite | 全量微调 | 0.3B | 8.8 | 10.4 | 4.2 | 10.3 | 14.9 | 19 | #236= | 5.4 | 9.0 | 28.7 | 3.1 | 2.6 |
| 236= | LFM2.5-2.6B-RLCD | 全量微调 | 2.7B | 8.2 | 7.7 | 6.3 | 6.8 | 25.5 | 39 | #237= | 6.6 | 5.9 | 10.5 | 4.4 | 6.3 |
| 236= | Qwen-2.5-1B-RLCD | 推理技巧 | 1.54B | 7.9 | 6.2 | 7.4 | 4.0 | 20.5 | 44 | #238= | 1.4 | 5.2 | 0.9 | 7.0 | 8.5 |
| 236= | Bekko System One v0 17M | 全量微调 | 0.02B | 7.7 | 5.9 | 7.4 | 7.4 | 16.1 | 7 | #239= | 2.5 | 2.7 | 21.3 | 5.9 | 7.5 |
| 239= | CLM-v0.1-8B | 全量微调 | 8.19B | 6.5 | 6.0 | 4.9 | 7.4 | 32.3 | 47 | #240= | 2.4 | 5.7 | 11.3 | 14.0 | 5.2 |
| 239= | jeff | 推理技巧 | 0.58B | 6.2 | 6.9 | 3.3 | 8.3 | 9.7 | 22 | #241= | 2.7 | 11.6 | 21.3 | 1.2 | 0.9 |
| 239= | LFM2.5-350M-RLCD | 全量微调 | 0.35B | 5.9 | 2.3 | 8.2 | 1.4 | 56.8 | 27 | #242= | 0.8 | 0.6 | 0.0 | 3.8 | 3.6 |
| 242= | system-one-gemma | LoRA | 0.27B | 5.2 | 5.0 | 3.5 | 5.2 | 23.9 | 32 | #243= | 1.3 | 1.2 | 17.2 | 3.3 | 4.9 |
| 242= | DM-JEPA 1.1 | 全量微调 | 0.15B | 5.0 | 4.2 | 4.0 | 19.2 | 44.5 | 63 | #244= | 17.3 | 21.7 | 34.0 | 7.9 | 8.6 |
| 242= | Julia 1 | 全量微调 | 0.14B | 4.8 | 4.5 | 3.2 | 4.2 | 42.0 | 6 | #245= | 1.4 | 1.4 | 9.9 | 7.2 | 2.1 |
| 245= | Nirnaya 0.4B | 全量微调 | 0.39B | 3.5 | 2.7 | 3.0 | 1.6 | 4.6 | 14 | #246= | 0.5 | 0.5 | 1.4 | 5.5 | 0.5 |
| 245= | Zev | 推理技巧 | — | 3.4 | 1.8 | 3.8 | 1.6 | 13.8 | 1 | #247= | 0.7 | 0.2 | 0.9 | 3.0 | 6.0 |
| 247 | Verdict | 全量微调 | 0.15B | 2.0 | 2.4 | 0.3 | 1.9 | 15.4 | 11 | #248 | 0.3 | 1.6 | 0.0 | 6.6 | 1.5 |
方法论
本榜单镜像自 Decision Index 0.4.1。S1 Hub 不重新测试、不修改任何分数——每天导入一次官方发布的数据文件,并保留每次导入的记录。 来源:Hugging Face 上的 Decision Index
数据源发布
所有数值都是 Decision Index 在统一硬件上的测试结果;方法细节见数据源页面。
每日同步
定时任务每天 03:00 UTC 导入最新文件;文件未变化时跳过,管理员可查看每次执行记录。
校准误差
决策模型要“知道自己有多确定”。ECE 越低越好,单独展示、不计分。