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 5.51813.6
- #2GPT-6 Astra1787.6
- #3Claude Sonnet 5.51772.8
- #4GPT-6.1 Sol1757.3
- #5Claude Fable 5.11744.8
Agent Scoreยท 36 models- #1Claude Fable 5.114.31
- #2Claude Opus 5.513.82
- #3Claude Sonnet 5.512.52
- #4GPT-6 Astra12.27
- #5GPT-6.1 Sol11.23
Pass rate%ยท 12 models- #1Claude Opus 5.557.8%
- #2Claude Fable 5.151.8%
- #3Claude Opus 546.6%
- #4Grok 4.746.3%
- #5GPT-5.6 Sol41.7%
Intelligence Indexยท 99 models- #1Claude Opus 5.557.6
- #2Claude Sonnet 5.556
- #3Claude Fable 5.153.4
- #4GPT-6 Astra52.7
- #5Gemini 4 Argon52.6
Accuracy%ยท 32 models- #1Gemini 4 Argon68.9%
- #2Claude Sonnet 5.567.0%
- #3Claude Opus 5.567.0%
- #4Claude Fable 5.165.8%
- #5Claude Opus 563.7%
Score%ยท 46 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 Argon1525.2
- #2Claude Opus 4.81504.7
- #3Claude Fable 51504.3
- #4Claude Opus 5.51503.7
- #5Claude Fable 5.11501.1
LMArena CodeCoding
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| # | Model | Coding Elo | Value Score | Actions |
|---|---|---|---|---|
| #1 | Claude Opus 5.5Anthropic | 1813.6 | 19.4 | |
| #2 | GPT-6 AstraOpenAI | 1787.6 | 7.8 | |
| #3 | Claude Sonnet 5.5Anthropic | 1772.8 | 39.1 | |
| #4 | GPT-6.1 SolOpenAI | 1757.3 | 38.1 | |
| #5 | Claude Fable 5.1Anthropic | 1744.8 | 7.5 | |
| #6 | Claude Opus 5Anthropic | 1691.8 | 4.6 | |
| #7 | GPT-6 SolOpenAI | 1687.5 | 35.6 | |
| #8 | Gemini 4 ArgonGoogle | 1678.4 | 37.8 | |
| #9 | Qwen3.8-MaxQwen | 1672.2 | 44 | |
| #10 | Muse Spark 1.3Meta | 1656.1 | 63.1 | |
| #11 | Kimi K3Moonshot AI | 1655 | 22.2 | |
| #12 | Grok 4.7xAI | 1638 | 41.7 | |
| #13 | Hunyuan-T1Tencent | 1631.7 | 479.1 | |
| #14 | Claude Fable 5Anthropic | 1624.1 | 7.2 | |
| #15 | GLM-5.3Zhipu AI | 1622.3 | 60.5 | |
| #16 | DeepSeek-V4-FlashDeepSeek | 1618.6 | 392.3 | |
| #17 | GPT-5.6 SolOpenAI | 1617.8 | 11.5 | |
| #18 | Grok 4.6xAI | 1617 | 40.2 | |
| #19 | GLM-5.2Zhipu AI | 1603 | 60.1 | |
| #20 | Qwen3.8-27BQwen | 1592 | 268.5 | |
| #21 | Gemini 3.7 FlashGoogle | 1591.9 | 82 | |
| #22 | Gemini 3.8 FlashGoogle | 1583.3 | 80.1 | |
| #23 | GPT-6 LunaOpenAI | 1582.3 | 601 | |
| #24 | DeepSeek-V4-ProDeepSeek | 1581.9 | 121.8 | |
| #25 | Claude Opus 4.8Anthropic | 1557.5 | 13.2 | |
| #26 | Grok 4.5xAI | 1552.9 | 39.9 | |
| #27 | Claude Sonnet 5Anthropic | 1540.9 | 28.7 | |
| #28 | Gemini 3.6 FlashGoogle | 1537.8 | 75.6 | |
| #29 | Mistral Large 3Mistral AI | 1533.8 | 39.5 | |
| #30 | Claude Sonnet 4.6Anthropic | 1522.1 | 20.7 | |
| #31 | GPT-5.6 TerraOpenAI | 1521.5 | 25.5 | |
| #32 | GPT-5.6 LunaOpenAI | 1519.9 | 238.6 | |
| #33 | Doubao Seed 2.0 ProByteDance | 1518.9 | 120.6 | |
| #34 | Qwen3.7-MaxQwen | 1515.1 | 213 | |
| #35 | GPT-5.5OpenAI | 1512.7 | 17.5 | |
| #36 | Kimi K2.6Moonshot AI | 1509.1 | 74.2 | |
| #37 | Gemini 3.5 FlashGoogle | 1509.1 | 35 | |
| #38 | GLM-5.1Zhipu AI | 1508.2 | 54.2 | |
| #39 | MiniMax-M3MiniMax | 1482.1 | 185.4 | |
| #40 | Qwen3.6-PlusQwen | 1482 | 224.4 | |
| #41 | Kimi K2.7 CodeMoonshot AI | 1473.2 | 47.7 | |
| #42 | GPT-5.4OpenAI | 1465.2 | 28.4 | |
| #43 | Gemini 3.1 ProGoogle | 1446.6 | 45.6 | |
| #44 | Gemini 3.5 Flash-LiteGoogle | 1439.7 | 126.7 | |
| #45 | Gemini 3 ProGoogle | 1439.6 | 43.6 | |
| #46 | GLM-4-PlusZhipu AI | 1435.1 | 74 | |
| #47 | MiniMax-M2.7MiniMax | 1397.7 | 187.3 | |
| #48 | GPT-5.4 miniOpenAI | 1397.2 | 376.3 | |
| #49 | DeepSeek-V3DeepSeek | 1362.2 | 543.8 | |
| #50 | Grok 4.3xAI | 1356.9 | 65.9 | |
| #51 | Claude Haiku 4.5Anthropic | 1329.7 | 59 | |
| #52 | Mistral Medium 3.5Mistral AI | 1263.3 | 81.2 | |
| #53 | Gemini 2.5 ProGoogle | 1227.7 | 23.5 |
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 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 Score36 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%12 modelsArtificial Analysis Intelligence Index: Tracks reasoning, quality, and coding intelligence across 600+ models, continuously updated as new frontier models release.
Intelligence Index99 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%32 modelsLiveBench Coding: Monthly refreshed contamination-resistant suite extracting code completion, generation, JavaScript, Python, and TypeScript performance.
Score%46 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.