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LABBench2

Real-world capabilities of AI systems on scientific research tasks.

LABBench2 is a multi-task benchmark for measuring whether AI systems can perform the kinds of work scientists actually do — reading literature, interpreting figures and tables, reasoning about experimental protocols, and operating on biological sequences. It is composed of multiple sub-benchmarks, each isolating a specific skill. Results below are aggregated across the suite; click into a sub-benchmark for its individual leaderboard.

Released 2026-02-05 Last updated 2026-03-23
Paper
arXiv↗
Code
GitHub↗
Dataset
Hugging Face↗

Results

Leaderboard

# Model Variant Average score Average output tokens Coverage Published
1 gpt-5-2 Tools + high 0.609 5.4k 14/15 2026-03-13
2 gpt-5-2-pro Tools + high 0.583 3.7k 14/15 2026-03-13
3 gemini-3-pro-preview Tools + high 0.564 1.3k 14/15 2026-03-13
4 claude-opus-4-6 Tools + high 0.519 6.9k 14/15 2026-03-23
5 claude-opus-4-5 Tools + high 0.471 3.6k 14/15 2026-03-23
6 gemini-3-pro-preview Base 0.404 258 15/15 2026-03-13
7 gpt-5-2-pro Base 0.382 1.7k 15/15 2026-03-13
8 claude-opus-4-6 Base 0.349 590 15/15 2026-03-23
9 gpt-5-2 Base 0.345 128 15/15 2026-03-13
10 claude-opus-4-5 Base 0.325 294 14/15 2026-03-23

Sub-benchmarks

Click any row for the per-sub-benchmark leaderboard.