LLM2014 Code 2025-09 — leaderboard
Metric: Median Score. Source: raw.githubusercontent.com. 19 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Mini (High) | 75.09 |
| 2 | Claude Sonnet 4 (Thinking) | 61.01 |
| 3 | Claude Sonnet 4 | 51.35 |
| 4 | Gemini 2.5 Pro | 47.77 |
| 5 | DeepSeek V3.1 (Thinking) | 47.5 |
| 6 | Grok 4 | 37.44 |
| 7 | GLM-4.5 (Thinking) | 37.21 |
| 8 | Gemini 2.5 Flash (Thinking) | 36.34 |
| 9 | GPT-OSS-20B (High) | 36.2 |
| 10 | GLM-4.5 | 35.42 |
| 11 | Qwen 3 235B A22B 2507 Instruct | 33.22 |
| 12 | DeepSeek V3.1 | 32.69 |
| 13 | Kimi K2 (0711) | 27.7 |
| 14 | Grok Code Fast 1 | 25.06 |
| 15 | GPT-OSS-120B (High) | 21.53 |
Interactive version: theaggregate.ai/benchmark?slug=llm2014-code-2025-09 · How the rankings work · Data refreshed daily, snapshot 2026-07-22.