Benchmarks / Coding

HumanEval

Uses LLM Stats / ZeroEval HumanEval pass@1 leaderboard. Score: HumanEval pass@1. Collected by Jake Boggs' benchmark dashboard.

42models
–Open Index weight
–last updated
boggspublisher

HumanEval

Higher is better · best effort per model

Chart settings
42 of 42 selected

full table below

#ModelEffortScoreCost / taskHarness
1Kimi K2medium94.5%––
2Sonnet 3.5medium93.7%––
3GPT-5high93.4%––
4Qwen 2.5 Codernone92.7%––
5o1 minihigh92.4%––
6Mistral Large 2none92.0%––
7Qwen 2.5–91.5%––
8GPT-4ohigh90.2%––
9DeepSeek V2.5none89.0%––
10Llama 3.1 405bnone89.0%––
11Mistral Small 3.1none88.4%––
12Grok 2none88.4%––
13Llama 3.3 70bnone88.4%––
14Qwen 2.5 32Bnone88.4%––
15Haiku 3.5medium88.1%––
16o1high88.1%––
17GPT-4.5none88.0%––
18Gemma 3 27Bnone87.8%––
19GPT-4o minihigh87.2%––
20GPT-4high87.1%––
21Qwen 2.5 72Bnone86.6%––
22Qwen 2 72Bnone86.0%––
23Grok 2 Mini–85.7%––
24Gemma 3 12Bnone85.4%––
25Opus 3none84.9%––
26Mistral Small 3none84.8%––
27Qwen 2.5 7B–84.8%––
28Gemini 1.5 Pronone84.1%––
29Qwen 2.5 14B–83.5%––
30Codestral–81.1%––
31Llama 3.1 70bnone80.5%––
32Qwen 2 7B–79.9%––
33Haiku 3medium75.9%––
34Gemini 1.5 Flashnone74.3%––
35Grok 1.5–74.1%––
36Sonnet 3none73.0%––
37Llama 3.1 8bmedium72.6%––
38Gemma 3 4Bnone71.3%––
39GPT-3.5high68.0%––
40Gemma 2 27B–51.8%––
41Gemma 3 1Bnone41.5%––
42Gemma 2 9B–40.2%––