ResearchCodeBench: leaderboard

ResearchCodeBench — unweighted first-completion task pass rate across 212 coding challenges from 20 machine-learning research papers; distinct from the website’s LoC-weighted score and the 109-task HARD subset.

Metric: Task Success Rate (%). Source: researchcodebench.github.io. Saturation forecast: Estimated already saturated. 32 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 05-06)64.15#147
2O3 (2025-04-16) (High)59.43#121 (O3 (2025-04-16))
3Gemini 2.5 Pro (Preview 03-25)58.96#123
4O4 Mini (High)58.49#180 (O4 Mini)
5O3 Mini (2025-01-31) (High)52.36#240 (O3 Mini (2025-01-31))
6Claude 3.7 Sonnet (20250219)51.89#201
7GPT-4.150#248
8Claude 3.5 Sonnet (20241022)48.58#291
9O1 (2024-12-17) (High)48.11#149 (O1 (2024-12-17))
10DeepSeek R145.75#251
11Grok 342.92#304
12GPT-4.1 Mini42.45#355
13DeepSeek V3 (0324)42.45#340
14GPT-4o (2024-08-06)41.04#336
15Claude 3.5 Haiku37.74#568

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

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