AI Coding Models Leaderboard
Aggregated mirrors of 7 official benchmark boards and real-world coding task scenarios. 100% verified, objective, and zero paid placement.
๐ 7 official boards ยท mirrored 1:1
Each card previews a provider's Top 5. Click "View full" for the complete board, or jump to the official page. Data is 100% from each provider โ we do no aggregation or math.
Coding Eloยท 54 models- #1Claude Opus 5.51813
- #2GPT-6 Astra1786.1
- #3Claude Sonnet 5.51774.3
- #4GPT-6.1 Sol1755.4
- #5Claude Fable 5.11743.7
Agent Scoreยท 37 models- #1Claude Opus 5.515.53
- #2GPT-6 Astra13.09
- #3Claude Fable 5.112.66
- #4Claude Sonnet 5.511.95
- #5GPT-6.1 Sol11.72
Pass rate%ยท 17 models- #1Claude Opus 5.557.8%
- #2Claude Sonnet 5.555.5%
- #3Gemini 4 Argon52.9%
- #4Claude Fable 5.151.8%
- #5Muse Wonder50.4%
Intelligence Indexยท 49 models- #1Claude Opus 5.557.6
- #2Claude Sonnet 5.556
- #3Muse Wonder Full55.8
- #4Kimi K3.1 Pro55.1
- #5Claude Fable 5.153.4
Accuracy%ยท 20 models- #1Claude Sonnet 5.570.8%
- #2Claude Opus 5.570.2%
- #3Gemini 4 Argon69.2%
- #4Muse Wonder Full66.8%
- #5GPT-6 Astra65.0%
Score%ยท 23 models- #1GPT-6 Astra86.5%
- #2Claude Fable 5.186.1%
- #3Claude Opus 5.586.0%
- #4GPT-6.1 Sol85.6%
- #5Gemini 4 Argon81.5%
Arena Eloยท 94 models- #1Gemini 4 Argon1517
- #2Claude Opus 5.51509
- #3Muse Wonder1509
- #4Claude Fable 51503
- #5Claude Fable 5.11503
LMArena CodeCoding
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| # | Model | Coding Elo | Value Score | Actions |
|---|---|---|---|---|
| #1 | Claude Opus 5.5Anthropic | 1813 | 19.7 | |
| #2 | GPT-6 AstraOpenAI | 1786.1 | 7.9 | |
| #3 | Claude Sonnet 5.5Anthropic | 1774.3 | 37.4 | |
| #4 | GPT-6.1 SolOpenAI | 1755.4 | 38.5 | |
| #5 | Claude Fable 5.1Anthropic | 1743.7 | 7.6 | |
| #6 | Claude Opus 5Anthropic | 1691.3 | 4.5 | |
| #7 | GPT-6 SolOpenAI | 1688.2 | 38.3 | |
| #8 | Gemini 4 ArgonGoogle | 1677.8 | 35.8 | |
| #9 | Qwen3.8-MaxQwen | 1673.5 | 43.8 | |
| #10 | Muse Spark 1.3Meta | 1656.9 | 59.5 | |
| #11 | Kimi K3Moonshot AI | 1654.4 | 21.6 | |
| #12 | Grok 4.7xAI | 1639.1 | 41.3 | |
| #13 | Hunyuan-T1Tencent | 1631.8 | 481.9 | |
| #14 | DeepSeek-V4.1-FlashDeepSeek | 1630 | 282.1 | |
| #15 | Claude Fable 5Anthropic | 1624.7 | 7.5 | |
| #16 | GLM-5.3Zhipu AI | 1622.2 | 56.5 | |
| #17 | DeepSeek-V4-FlashDeepSeek | 1618.6 | 406.7 | |
| #18 | GPT-5.6 SolOpenAI | 1618.3 | 11.2 | |
| #19 | Grok 4.6xAI | 1617.2 | 40.1 | |
| #20 | GLM-5.2Zhipu AI | 1603.2 | 63.1 | |
| #21 | Qwen3.8-27BQwen | 1592.8 | 256.6 | |
| #22 | Gemini 3.7 FlashGoogle | 1591.5 | 84.4 | |
| #23 | Claude Haiku 4.5Anthropic | 1586.9 | 68 | |
| #24 | Gemini 3.8 FlashGoogle | 1583.5 | 78 | |
| #25 | DeepSeek-V4-ProDeepSeek | 1582 | 120.5 | |
| #26 | GPT-6 LunaOpenAI | 1580.9 | 597.9 | |
| #27 | Claude Opus 4.8Anthropic | 1557.5 | 14.2 | |
| #28 | Grok 4.5xAI | 1552.8 | 42.3 | |
| #29 | Mistral Large 3Mistral AI | 1541.3 | 35.2 | |
| #30 | Claude Sonnet 5Anthropic | 1540.8 | 28.6 | |
| #31 | Gemini 3.6 FlashGoogle | 1537.8 | 74 | |
| #32 | Claude Sonnet 4.6Anthropic | 1522.4 | 22.9 | |
| #33 | GPT-5.6 TerraOpenAI | 1521.8 | 26.1 | |
| #34 | Doubao Seed 2.0 ProByteDance | 1519.1 | 121.5 | |
| #35 | GPT-5.6 LunaOpenAI | 1519 | 232.4 | |
| #36 | Qwen3.7-MaxQwen | 1515.1 | 198 | |
| #37 | GPT-5.5OpenAI | 1512.7 | 16.5 | |
| #38 | Gemini 3.5 FlashGoogle | 1510.5 | 40.5 | |
| #39 | Kimi K2.6Moonshot AI | 1509.1 | 60.4 | |
| #40 | GLM-5.1Zhipu AI | 1508.3 | 62.5 | |
| #41 | Qwen3.6-PlusQwen | 1482.3 | 202.1 | |
| #42 | MiniMax-M3MiniMax | 1481.7 | 211.8 | |
| #43 | Kimi K2.7 CodeMoonshot AI | 1473.4 | 42.3 | |
| #44 | GPT-5.4OpenAI | 1465.3 | 27.6 | |
| #45 | Gemini 3.1 ProGoogle | 1446.7 | 46.3 | |
| #46 | Gemini 3.5 Flash-LiteGoogle | 1439.7 | 124.8 | |
| #47 | Gemini 3 ProGoogle | 1439.5 | 49.3 | |
| #48 | GLM-4-PlusZhipu AI | 1435 | 86.9 | |
| #49 | MiniMax-M2.7MiniMax | 1397.9 | 215.1 | |
| #50 | GPT-5.4 miniOpenAI | 1397.3 | 449.8 | |
| #51 | DeepSeek-V3DeepSeek | 1362.2 | 630 | |
| #52 | Grok 4.3xAI | 1357.1 | 71.9 | |
| #53 | Mistral Medium 3.5Mistral AI | 1263.5 | 82.9 | |
| #54 | Gemini 2.5 ProGoogle | 1227.4 | 29.5 |
The "Cross-board ranks" column shows this model's rank on the other boards at a glance (grey = not tested there). Boards use different methodologies, so raw values are not directly comparable.
LMArena Code board: LMSYS Coding Arena Elo ratings based on real developer blind tests on challenging code prompts. Sourced directly from arena.ai/leaderboard/code and mirrored 1:1.
๐ 7 benchmark boards
LMArena Code board: LMSYS Coding Arena Elo ratings based on real developer blind tests on challenging code prompts. Sourced directly from arena.ai/leaderboard/code and mirrored 1:1.
Coding Elo54 modelsLMArena Agent board: real agentic coding sessions scored by human blind votes (signal-based agent score). Sourced from arena.ai/leaderboard/agent and mirrored 1:1.
Agent Score37 modelsCursorBench is Cursor's first-party agentic coding benchmark (v4.0). Tasks come from real Cursor sessions with ambiguous, multi-file requirements. Metric: pass rate (%). Mirrored from Cursor's official cursor.com/cursorbench snapshot.
Pass rate%17 modelsArtificial Analysis Intelligence Index: Tracks reasoning, quality, and coding intelligence across 600+ models, continuously updated as new frontier models release.
Intelligence Index49 modelsVals AI (Vals Index): Independent benchmarks evaluating frontier AI models on economically valuable real-world tasks across software, finance, cybersecurity, and agent autonomy. Metric: Accuracy (%). Sourced directly from vals.ai and mirrored 1:1.
Accuracy%20 modelsLiveBench Coding: Monthly refreshed contamination-resistant suite extracting code completion, generation, JavaScript, Python, and TypeScript performance.
Score%23 modelsLMArena Text board: The global standard LMSYS Chatbot Arena tracking cross-domain text generation and complex instruction-following Elo ratings from arena.ai/leaderboard/text.
Arena Elo94 modelsAll rankings and numbers come directly from official sources; we only do name matching and aggregate presentation, no weighting or re-ranking. Boards use different methodologies, so do not compare raw values across boards.