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 53 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 15 models- #1Claude Opus 5.557.8%
- #2Claude Sonnet 5.555.5%
- #3Gemini 4 Argon52.9%
- #4Claude Fable 5.151.8%
- #5Claude Opus 546.6%
Intelligence Indexยท 101 models- #1Claude Opus 5.557.6
- #2Claude Sonnet 5.556
- #3Muse Wonder Full55.8
- #4Claude Fable 5.153.4
- #5GPT-6 Astra52.7
Accuracy%ยท 35 models- #1Gemini 4 Argon68.9%
- #2Claude Sonnet 5.567.0%
- #3Claude Opus 5.567.0%
- #4Claude Fable 5.165.8%
- #5Muse Wonder Full64.6%
Score%ยท 47 models- #1Claude Fable 5.183.4%
- #2Claude Opus 5.583.2%
- #3Claude Fable 583.0%
- #4GPT-6 Astra82.2%
- #5Muse Spark 1.381.6%
Arena Eloยท 91 models- #1Gemini 4 Argon1525.4
- #2Claude Opus 5.51507.1
- #3Claude Opus 4.81504.4
- #4Claude Fable 51503.7
- #5Claude Fable 5.11500.7
LMArena CodeCoding
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| # | Model | Coding Elo | Value Score | Actions |
|---|---|---|---|---|
| #1 | Claude Opus 5.5Anthropic | 1813 | 19.4 | |
| #2 | GPT-6 AstraOpenAI | 1786.1 | 7.8 | |
| #3 | Claude Sonnet 5.5Anthropic | 1774.3 | 36.8 | |
| #4 | GPT-6.1 SolOpenAI | 1755.4 | 37.9 | |
| #5 | Claude Fable 5.1Anthropic | 1743.7 | 7.3 | |
| #6 | Claude Opus 5Anthropic | 1691.3 | 4.6 | |
| #7 | GPT-6 SolOpenAI | 1688.2 | 35.5 | |
| #8 | Gemini 4 ArgonGoogle | 1677.8 | 35.6 | |
| #9 | Qwen3.8-MaxQwen | 1673.5 | 43.9 | |
| #10 | Muse Spark 1.3Meta | 1656.9 | 64.7 | |
| #11 | Kimi K3Moonshot AI | 1654.4 | 22.1 | |
| #12 | Grok 4.7xAI | 1639.1 | 41.3 | |
| #13 | Hunyuan-T1Tencent | 1631.8 | 475.2 | |
| #14 | Claude Fable 5Anthropic | 1624.7 | 7.2 | |
| #15 | GLM-5.3Zhipu AI | 1622.2 | 56.8 | |
| #16 | DeepSeek-V4-FlashDeepSeek | 1618.6 | 390.5 | |
| #17 | GPT-5.6 SolOpenAI | 1618.3 | 11.4 | |
| #18 | Grok 4.6xAI | 1617.2 | 40.1 | |
| #19 | GLM-5.2Zhipu AI | 1603.2 | 59.7 | |
| #20 | Qwen3.8-27BQwen | 1592.8 | 267.6 | |
| #21 | Gemini 3.7 FlashGoogle | 1591.5 | 81.6 | |
| #22 | Claude Haiku 4.5Anthropic | 1586.9 | 63.3 | |
| #23 | Gemini 3.8 FlashGoogle | 1583.5 | 79.9 | |
| #24 | DeepSeek-V4-ProDeepSeek | 1582 | 121.8 | |
| #25 | GPT-6 LunaOpenAI | 1580.9 | 602.4 | |
| #26 | Claude Opus 4.8Anthropic | 1557.5 | 13.2 | |
| #27 | Grok 4.5xAI | 1552.8 | 39.8 | |
| #28 | Mistral Large 3Mistral AI | 1541.3 | 36.5 | |
| #29 | Claude Sonnet 5Anthropic | 1540.8 | 28.7 | |
| #30 | Gemini 3.6 FlashGoogle | 1537.8 | 75.8 | |
| #31 | Claude Sonnet 4.6Anthropic | 1522.4 | 20.7 | |
| #32 | GPT-5.6 TerraOpenAI | 1521.8 | 25.7 | |
| #33 | Doubao Seed 2.0 ProByteDance | 1519.1 | 120.6 | |
| #34 | GPT-5.6 LunaOpenAI | 1519 | 240.6 | |
| #35 | Qwen3.7-MaxQwen | 1515.1 | 212.8 | |
| #36 | GPT-5.5OpenAI | 1512.7 | 17.5 | |
| #37 | Gemini 3.5 FlashGoogle | 1510.5 | 35 | |
| #38 | Kimi K2.6Moonshot AI | 1509.1 | 74.2 | |
| #39 | GLM-5.1Zhipu AI | 1508.3 | 54.2 | |
| #40 | Qwen3.6-PlusQwen | 1482.3 | 224.4 | |
| #41 | MiniMax-M3MiniMax | 1481.7 | 186 | |
| #42 | Kimi K2.7 CodeMoonshot AI | 1473.4 | 47.7 | |
| #43 | GPT-5.4OpenAI | 1465.3 | 28.4 | |
| #44 | Gemini 3.1 ProGoogle | 1446.7 | 45.8 | |
| #45 | Gemini 3.5 Flash-LiteGoogle | 1439.7 | 126.7 | |
| #46 | Gemini 3 ProGoogle | 1439.5 | 43.6 | |
| #47 | GLM-4-PlusZhipu AI | 1435 | 74 | |
| #48 | MiniMax-M2.7MiniMax | 1397.9 | 187.3 | |
| #49 | GPT-5.4 miniOpenAI | 1397.3 | 376.5 | |
| #50 | DeepSeek-V3DeepSeek | 1362.2 | 543.4 | |
| #51 | Grok 4.3xAI | 1357.1 | 65.9 | |
| #52 | Mistral Medium 3.5Mistral AI | 1263.5 | 82.2 | |
| #53 | Gemini 2.5 ProGoogle | 1227.4 | 29.3 |
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 Elo53 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%15 modelsArtificial Analysis Intelligence Index: Tracks reasoning, quality, and coding intelligence across 600+ models, continuously updated as new frontier models release.
Intelligence Index101 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%35 modelsLiveBench Coding: Monthly refreshed contamination-resistant suite extracting code completion, generation, JavaScript, Python, and TypeScript performance.
Score%47 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 Elo91 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.