Best AI Models for Coding
Top AI models for writing code, debugging, and solving real-world development tasks.
| # | Model | Score |
|---|---|---|
 GPT-6 Astra | 74.4% | |
GPT-5.6 Sol | 63.9% | |
 Claude Fable 5 | 59.8% | |
| 4 |  Kimi K3 | 67.8% |
| 5 |  GLM-5.3 | 52.2% |
| 6 | GPT-5.6 Terra | 59.0% |
| 7 | Claude Opus 5 | 55.0% |
| 8 | Claude Opus 4.8 | 71.0% |
| 9 |  Muse Spark 1.3 | 73.4% |
| 10 |  DeepSeek-V4-Pro-0813 | 60.6% |
| 11 |  Qwen3.8 Max | 71.0% |
| 12 |  Gemini 3.8 Flash | 59.2% |
| 13 | GPT-5.5 | 66.4% |
| 14 |  Grok 4.6 | 49.6% |
| 15 | Claude Sonnet 5 | 58.4% |
Want a detailed comparison of the leaders? → GPT-6 Astra vs GPT-5.6 Sol
Other Collections
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Top AI models for reasoning tasks, analysis, and expert knowledge.
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Top AI models with the lowest API prices — maximum quality for minimum cost.
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Top AI models with the largest context window — for working with long documents.
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Top AI models on the MMLU benchmark — broad knowledge across dozens of subjects.
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Top AI models for function calling and agentic tool use.
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Top AI models by generation speed — maximum throughput via API.
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Top AI models for analyzing charts, diagrams, and visual data.
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AI models with free API access — open source and free-tier providers.
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Top AI models for building autonomous agents with tool use and planning.
Ranking updated in 2026 based on official benchmarks and independent tests. See also model comparisons and the full catalog.