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Benchmarks · reasoning

ResearchClawBench

An AI agent gets the raw data and related literature behind a published scientific paper — the paper itself hidden — and must redo the research end to end, from analysis to a written report, across 40 tasks in 10 scientific domains. Maintained by ResearchClawBench team. Score: Mean rubric score over the tasks a model has a scored run for, 0–100 (an LLM acting as a strict peer reviewer grades each report against an expert-curated weighted rubric; 50 = the report matches the original paper).

21 models · 21 results · data as of 2026-10-29 · internscience.github.io ↗

Leaderboard

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21 of 21 selected
Opus 4.8 max

All results

21 rows
#ModelEffortResearchClawBenchHarness
1Opus 4.8max21.1%ResearchHarness
2Opus 4.7max20.7%ResearchHarness
3GLM 5.2max20.7%ResearchHarness
4Opus 4.6max19.9%ResearchHarness
5MiniMax M3max19.8%ResearchHarness
6Qwen 3.7 Maxmax18.7%ResearchHarness
7GLM 5.1max18.2%ResearchHarness
8Qwen 3.6 Plusmax18.0%ResearchHarness
9Kimi K2.6max18.0%ResearchHarness
10Gemini 3.5 Flashxhigh17.9%ResearchHarness
11DeepSeek V4 Promax17.1%ResearchHarness
12GPT-5.5xhigh17.0%ResearchHarness
13MiMo V2.5xhigh16.9%ResearchHarness
14MiMo V2 Pro15.3%ResearchHarness
15GPT-5.4xhigh15.3%ResearchHarness
16Qwen 3.5 397B-A17Bmax14.2%ResearchHarness
17Kimi K2.5max14.0%ResearchHarness
18Grok 4.113.5%ResearchHarness
19Gemini 3.1 Prohigh13.3%ResearchHarness
20Hy3xhigh12.9%ResearchHarness
21Grok 4.3xhigh12.4%ResearchHarness