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Agents · bash reliability

Agent Arena signal scores from the official dataset. Each signal is a separate measurement; it is not a success percentage.

58 entries · IPS score · Higher is better

Source publication: 2026-11-04. Retrieved 2026-11-05.

Source: Arena (lmarena-ai) · CC-BY-4.0.

Ranks use confidence bounds. Several models can share a rank; the rows within a shared rank are displayed by score.

Agents · bash reliability · IPS score
Significance rankModel / evaluated variantIPS score95% confidence intervalObservations
1Claude Sonnet 5 (High)anthropic0.1508230.145215 – 0.15643231,347
1Claude Opus 5.5 (Max)anthropic0.1500620.145787 – 0.154336264,620
3GPT-6.1 Terra (Max)openai0.1351990.131378 – 0.13902528,425
3Claude Sonnet 5.5 (Max)anthropic0.1264510.119686 – 0.133216140,397
4GPT-5.6 Sol (xHigh)openai0.1131420.106509 – 0.119775213,048
5GPT-6 Sol (Max)openai0.1126770.107167 – 0.118186227,574
5Claude Fable 5 (High)anthropic0.101930.093162 – 0.110699125,868
7Claude Opus 5 (Max)anthropic0.100260.094497 – 0.106024243,903
5Claude Fable 5.1 (Max)anthropic0.1002160.091307 – 0.109124114,914
7Gemini 3.8 Flash (High)google0.0996940.09578 – 0.103608846,362
5Grok 4.6 (xHigh)xai0.0981670.088 – 0.10833472,255
7GPT-6 Luna (Max)openai0.0959590.093178 – 0.098742,849,515
7Grok 4.7 (xHigh)xai0.0944260.088185 – 0.100666256,072
12Muse Wonder Full (Max)meta0.0840110.079628 – 0.088394563,468
11GPT-6 Astra (Max)openai0.0800330.068525 – 0.09154142,658
14Kimi K3.1 Pro (Max)moonshot0.0779460.07234 – 0.083552376,791
15Claude Haiku 5.5 (High)anthropic0.073620.067977 – 0.079263471,690
15GPT-6 Luna (Medium)openai0.0693430.065101 – 0.073585715,939
15Hy4tencent0.0661550.05465 – 0.07766117,034
16Gemini 3.7 Flash (High)google0.0626080.054019 – 0.071197257,912
19GPT-6.1 Sol (Max)openai0.0505160.043575 – 0.057457240,656
19Muse Wonder (Max)meta0.0497390.040897 – 0.05858221,013
19Qwen3.7-Maxalibaba0.0357850.01134 – 0.0602342,865
23DeepSeek-V4.1-Flash-20261017 (Max)deepseek0.0320410.02893 – 0.0351532,502,923
19Beam 1.0 501B A23Breflection0.030680.002456 – 0.05890493,649
24MiMo-V2.6-Proxiaomi0.0222760.015638 – 0.028914621,400
21Inkling-Smallthinky0.021174-0.008848 – 0.05119616,293
24GPT-6 Luna (Low)openai0.0193720.012095 – 0.026648275,807
24Muse Spark 1.3 (Max)meta0.018690.010873 – 0.026506532,135
23DeepSeek-V4-Pro (High, 20260813)deepseek0.0179760.005069 – 0.03088486,502
21Gemini 3.1 Pro Previewgoogle0.016872-0.015215 – 0.04895935,300
22Inklingthinky0.013742-0.015964 – 0.04344917,111
24GPT-5.6 Terra (xHigh)openai0.0081660.000449 – 0.015884211,380
23Qwen3.7-Plusalibaba0.008145-0.020271 – 0.03656232,326
25MiMo-V2.5-Proxiaomi-0.008052-0.028464 – 0.01236155,140
31MiniMax-M3minimax-0.020824-0.038838 – -0.0028180,936
32Muse Spark 1.1meta-0.024236-0.038725 – -0.009746291,738
35Qwen3.8-Maxalibaba-0.028594-0.035402 – -0.021787594,068
35Hy4 previewtencent-0.030979-0.036006 – -0.0259521,101,920
35Muse Spark 1.2 (xHigh)meta-0.037642-0.048816 – -0.026468212,382
36MiMo-V2.6-Flashxiaomi-0.041424-0.050871 – -0.031977379,502
38GLM-5.2 (Max)zai-0.045286-0.053006 – -0.037566468,965
40Kimi K3 (Max)moonshot-0.046982-0.053399 – -0.040565682,226
40MiniMax-M3.1-Flashminimax-0.049565-0.059181 – -0.039948310,814
40GLM-5.3 (Max)zai-0.053902-0.06225 – -0.045554521,367
40Gemini 4 Carbon (High)google-0.054983-0.062424 – -0.047542476,207
40Gemini 4 Argon (High)google-0.056096-0.067569 – -0.044623478,113
38Mistral Large 4mistral-0.058971-0.080303 – -0.03763936,597
36Mistral Medium 3.5mistral-0.073185-0.112307 – -0.03406332,021
47Spark-X2.6synlan-0.086609-0.109851 – -0.063366119,972
49GLM-5.3-Flashzai-0.112543-0.121052 – -0.104035962,019
49Step 5 Previewstepfun-0.116863-0.130816 – -0.10291310,483
49Qwen3.8-27Balibaba-0.117097-0.129487 – -0.104708359,452
50NVIDIA-Nemotron-3.5-Super-VL-120B-A12B (NVFP4)nvidia-0.127886-0.143494 – -0.112279147,074
49Hy3tencent-0.136683-0.172148 – -0.10121813,169
36Nemotron 3 Ultranvidia-0.15385-0.274069 – -0.0336315,428
56Qwen3.8-Flash-Nextalibaba-0.217838-0.225425 – -0.2102511,174,420
58Solar Pro 4upstage-0.448204-0.525002 – -0.37140617,227

What this ranking can tell you

  • The population is the models in this source board, including variants and models without an available API price.
  • Ranks use the published confidence bounds: one plus the number of models whose lower bound exceeds this model’s upper bound. Shared ranks are not proof of equal performance.

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