AI Coding Models Leaderboard
Aggregated mirrors of 8 official benchmark boards and real-world coding task scenarios. 100% verified, objective, and zero paid placement.
๐ 8 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 70 models- #1Claude Fable 5.21837.8
- #2Claude Opus 5.51814.7
- #3Claude Sonnet 5.51772.3
- #4Gemini 4 Carbon1768.2
- #5GPT-6 Astra1763.8
Agent Scoreยท 45 models- #1Claude Fable 5.230.48
- #2Claude Opus 5.519.51
- #3Gemini 4 Carbon16.9
- #4Claude Sonnet 5.516.07
- #5Gemini 4 Hydrogen14.8
Pass rate%ยท 21 models- #1Gemini 4 Carbon60.4%
- #2Claude Fable 5.260.0%
- #3Claude Opus 5.557.8%
- #4Gemini 4 Hydrogen57.8%
- #5Claude Sonnet 5.555.5%
Pass@1%ยท 20 models- #1Claude Fable 5.216.4%
- #2Claude Opus 5.512.0%
- #3Gemini 4 Carbon10.9%
- #4GPT-6 Astra9.6%
- #5Muse Wonder Full9.0%
Intelligence Indexยท 34 models- #1Claude Fable 5.264.6
- #2Gemini 4 Carbon60
- #3Claude Opus 5.559.1
- #4GPT-6 Astra56.9
- #5GPT-6.1 Sol54.6
Accuracy%ยท 28 models- #1Claude Fable 5.271.3%
- #2Claude Sonnet 5.570.8%
- #3Gemini 4 Carbon70.5%
- #4Claude Opus 5.570.1%
- #5Gemini 4 Argon69.4%
Score%ยท 26 models- #1GPT-6 Astra85.8%
- #2Claude Fable 5.285.6%
- #3Claude Fable 5.185.1%
- #4Gemini 4 Carbon84.8%
- #5Claude Opus 5.584.7%
Arena Eloยท 99 models- #1Gemini 4 Carbon1526.2
- #2Gemini 4 Argon1521.7
- #3Muse Wonder1510.9
- #4Claude Opus 5.51506.8
- #5Claude Fable 51504
LMArena CodeCoding
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| # | Model | Coding Elo | Value Score | Actions |
|---|---|---|---|---|
| #1 | Claude Fable 5.2Anthropic | 1837.8 | 9.9 | |
| #2 | Claude Opus 5.5Anthropic | 1814.7 | 18.3 | |
| #3 | Claude Sonnet 5.5Anthropic | 1772.3 | 33.5 | |
| #4 | Gemini 4 CarbonGoogle | 1768.2 | 36 | |
| #5 | GPT-6 AstraOpenAI | 1763.8 | 7.1 | |
| #6 | GPT-6.1 SolOpenAI | 1743.3 | 34 | |
| #7 | Claude Fable 5.1Anthropic | 1741.9 | 6.6 | |
| #8 | Muse Wonder FullMeta | 1723.5 | 15.5 | |
| #9 | Gemini 4 HydrogenGoogle | 1704.2 | 45.9 | |
| #10 | Claude Opus 5Anthropic | 1690.9 | 4.2 | |
| #11 | Kimi K3.1 ProMoonshot AI | 1687.2 | 32.4 | |
| #12 | Gemini 4 ArgonGoogle | 1681 | 31.9 | |
| #13 | GPT-6.1 TerraOpenAI | 1678.1 | 62.6 | |
| #14 | Qwen3.8-MaxQwen | 1676.3 | 35.3 | |
| #15 | GPT-6 SolOpenAI | 1672.6 | 33.3 | |
| #16 | 1668 | 284.7 | ||
| #17 | DeepSeek-V4.1-FlashDeepSeek | 1663.7 | 227.2 | |
| #18 | Kimi K3Moonshot AI | 1657.8 | 17.9 | |
| #19 | Muse Spark 1.3Meta | 1655.1 | 48 | |
| #20 | Muse WonderMeta | 1647.4 | 14.5 | |
| #21 | Inkling 2 SmallThinking Machines | 1647.1 | 232.7 | |
| #22 | Grok 4.7xAI | 1640.7 | 34.6 | |
| #23 | Hunyuan Hy4Tencent | 1631.7 | 86.2 | |
| #24 | Claude Fable 5Anthropic | 1625.4 | 6.7 | |
| #25 | Qwen 4 PreviewQwen | 1623.7 | 40.2 | |
| #26 | GLM-5.3Zhipu AI | 1622.5 | 45.1 | |
| #27 | Grok 4.6xAI | 1618.1 | 37.3 | |
| #28 | GPT-5.6 SolOpenAI | 1615.2 | 10.3 | |
| #29 | GLM-5.3-FlashZhipu AI | 1608.8 | 426.7 | |
| #30 | Muse EmberMeta | 1608.8 | 524.5 | |
| #31 | GLM-5.2Zhipu AI | 1607.7 | 57 | |
| #32 | Claude Haiku 5.5Anthropic | 1593.4 | 51.5 | |
| #33 | Qwen3.8-27BQwen | 1589.7 | 219 | |
| #34 | Gemini 3.7 FlashGoogle | 1588 | 79.9 | |
| #35 | MiniMax-M3.1-FlashMiniMax | 1583.9 | 338.3 | |
| #36 | Gemini 3.8 FlashGoogle | 1583.5 | 70.9 | |
| #37 | DeepSeek-V4-FlashDeepSeek | 1581.7 | 412.9 | |
| #38 | DeepSeek-V4-ProDeepSeek | 1581 | 141.5 | |
| #39 | GPT-6 LunaOpenAI | 1577.2 | 497.7 | |
| #40 | Mistral Large 4Mistral AI | 1564.5 | 49.1 | |
| #41 | Claude Opus 4.8Anthropic | 1557 | 14.3 | |
| #42 | Grok 4.5xAI | 1552.6 | 45.7 | |
| #43 | Claude Sonnet 5Anthropic | 1539 | 25.9 | |
| #44 | Gemini 3.6 FlashGoogle | 1537.7 | 92 | |
| #45 | Claude Sonnet 4.6Anthropic | 1522.2 | 22.4 | |
| #46 | GPT-5.6 TerraOpenAI | 1520.1 | 24.1 | |
| #47 | GPT-5.6 LunaOpenAI | 1519.2 | 242.3 | |
| #48 | Qwen3.7-MaxQwen | 1515.1 | 203.8 | |
| #49 | GPT-5.5OpenAI | 1512.1 | 18 | |
| #50 | Kimi K2.6Moonshot AI | 1509.3 | 81.8 | |
| #51 | GLM-5.1Zhipu AI | 1508.1 | 61.2 | |
| #52 | Gemini 3.5 FlashGoogle | 1506 | 39.6 | |
| #53 | MiniMax-M3MiniMax | 1484.1 | 163.4 | |
| #54 | Qwen3.6-PlusQwen | 1482.3 | 243.6 | |
| #55 | Kimi K2.7 CodeMoonshot AI | 1474.2 | 45.1 | |
| #56 | GPT-5.4OpenAI | 1461.7 | 22.7 | |
| #57 | Gemini 3.1 ProGoogle | 1446.4 | 48.4 | |
| #58 | Gemini 3 ProGoogle | 1440.7 | 48.4 | |
| #59 | GLM-4-PlusZhipu AI | 1434.7 | 85.3 | |
| #60 | Gemini 3.5 Flash-LiteGoogle | 1432 | 107.9 | |
| #61 | GPT-5.4 miniOpenAI | 1397.7 | 68.7 | |
| #62 | MiniMax-M2.7MiniMax | 1397.7 | 211.4 | |
| #63 | DeepSeek-V3DeepSeek | 1362.5 | 619.2 | |
| #64 | Grok 4.3xAI | 1357.3 | 70.6 | |
| #65 | Claude Haiku 4.5Anthropic | 1330.4 | 51.4 | |
| #66 | Mistral Medium 3.5Mistral AI | 1263.1 | 74.2 | |
| #67 | Qwen3.8-FlashQwen | 1243.1 | 506 | |
| #68 | 1241.6 | 370.8 | ||
| #69 | Mistral Large 3Mistral AI | 1232.3 | 30.5 | |
| #70 | Gemini 2.5 ProGoogle | 1227.7 | 25.1 |
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 8 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 Elo70 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 Score45 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%21 modelsSemiAnalysis GDPx: General agentic benchmark evaluating 206 multi-hour tasks across 11 economically valuable domains (Chip Design, Cybersecurity, Biology, Finance, Legal, Quant Trading, Recursive Self-Improvement, Hardware Design, Materials Science, Alignment, and Software Engineering). Metric: Pass@1 (%). Sourced from gdpx.semianalysis.com.
Pass@1%20 modelsArtificial Analysis Intelligence Index: Tracks reasoning, quality, and coding intelligence across 600+ models, continuously updated as new frontier models release.
Intelligence Index34 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%28 modelsLiveBench Coding: Monthly refreshed contamination-resistant suite extracting code completion, generation, JavaScript, Python, and TypeScript performance.
Score%26 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 Elo99 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.