LLM2014 Code 2025-09 - Python: leaderboard

LLM2014 monthly coding benchmark for 2025-09, measuring Python code-generation problem-solving on the source score scale.

Metric: Score. Source: raw.githubusercontent.com. Saturation forecast: Estimated already saturated. 20 models tracked.

Top models

#ModelScoreOverall rank
1O4 Mini (High)9.17#180 (O4 Mini)
2GPT-5 Mini (High)8.96#186 (GPT-5 Mini)
3Gemini 2.5 Pro7.5#152
4DeepSeek V3.1 (Thinking)7.36#264 (DeepSeek V3.1)
5GLM-4.5 (Thinking)7.15#275 (GLM-4.5)
6Claude Sonnet 4 (Thinking)6.94#199 (Claude Sonnet 4)
7Qwen 3 235B A22B 2507 Instruct6.18#300
8GLM-4.56.11#275
9Qwen 3 Coder 480B A35B5.83#279
10Grok 45.76#181
11DeepSeek V3.15.69#264
12GPT-OSS-20B (High)5.62#518 (GPT-OSS-20B)
13Claude Sonnet 45.42#199
14Seed-1.6 (Thinking)5.42#265 (Seed-1.6)
15Gemini 2.5 Flash (Thinking)5.28#245 (Gemini 2.5 Flash)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=llm2014-code-2025-09-python · How It Works · Data refreshed daily, snapshot 2026-10-20.