LLM2014 Code 2025-09 - Python — leaderboard
Metric: Score. Source: raw.githubusercontent.com. 20 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O4 Mini (High) | 9.17 |
| 2 | GPT-5 Mini (High) | 8.96 |
| 3 | Gemini 2.5 Pro | 7.5 |
| 4 | DeepSeek V3.1 (Thinking) | 7.36 |
| 5 | GLM-4.5 (Thinking) | 7.15 |
| 6 | Claude Sonnet 4 (Thinking) | 6.94 |
| 7 | Qwen 3 235B A22B 2507 Instruct | 6.18 |
| 8 | GLM-4.5 | 6.11 |
| 9 | Grok 4 | 5.76 |
| 10 | DeepSeek V3.1 | 5.69 |
| 11 | GPT-OSS-20B (High) | 5.62 |
| 12 | Claude Sonnet 4 | 5.42 |
| 13 | Gemini 2.5 Flash (Thinking) | 5.28 |
| 14 | Grok Code Fast 1 | 4.65 |
| 15 | GPT-OSS-120B (High) | 4.31 |
Interactive version: theaggregate.ai/benchmark?slug=llm2014-code-2025-09-python · How the rankings work · Data refreshed daily, snapshot 2026-07-22.