The AI arena is free today

Open Playground

LifeSciBench

Paper

Progress Over Time

Interactive timeline showing model performance evolution on LifeSciBench

State-of-the-art frontier
Open
Proprietary

LifeSciBench Leaderboard

3 models
ContextCostLicense
11.1M$5.00 / $30.00
21.1M$2.00 / $12.00
31.1M$0.20 / $1.20
Notice missing or incorrect data?
About this benchmark

What is LifeSciBench?

LifeSciBench is an expert-authored, expert-reviewed benchmark of 750 open-ended life-science research tasks spanning seven workflows and seven biological domains. Responses are graded against 19,020 physician- and scientist-written rubric criteria rather than multiple-choice answers, and most tasks require interpreting attached artifacts such as figures, PDFs, and sequence files.

LifeSciBench is a multimodal benchmark evaluating models on multimodal, reasoning, science, healthcare, agents, and vision tasks. LLM Stats tracks 3 models on this benchmark, scored on a 0–1 scale. The current average is 0.6, with the leader at 0.6.

Compare leaders on the best AI for multimodal, best AI for reasoning, best AI for science, best AI for healthcare, best AI for agents and best AI for vision leaderboards.

Current leaders

GPT-5.6 Sol from OpenAI currently leads the LifeSciBench leaderboard with a score of 0.599 across 3 evaluated AI models.

1GPT-5.6 SolOpenAI59.9%
2GPT-5.6 TerraOpenAI56.0%
3GPT-5.6 LunaOpenAI51.2%

FAQ

Common questions about the LifeSciBench benchmark and leaderboard.

What is the LifeSciBench benchmark?

LifeSciBench is an expert-authored, expert-reviewed benchmark of 750 open-ended life-science research tasks spanning seven workflows and seven biological domains. Responses are graded against 19,020 physician- and scientist-written rubric criteria rather than multiple-choice answers, and most tasks require interpreting attached artifacts such as figures, PDFs, and sequence files.

What is the LifeSciBench leaderboard?

The LifeSciBench leaderboard ranks 3 AI models based on their performance on this benchmark. Currently, GPT-5.6 Sol by OpenAI leads with a score of 0.599. The average score across all models is 0.557.

What is the highest LifeSciBench score?

The highest LifeSciBench score is 0.599, achieved by GPT-5.6 Sol from OpenAI.

How many models are evaluated on LifeSciBench?

3 models have been evaluated on the LifeSciBench benchmark, with 0 verified results and 3 self-reported results.

Where can I find the LifeSciBench paper?

The LifeSciBench paper is available at https://openai.com/index/introducing-life-sci-bench/. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does LifeSciBench cover?

LifeSciBench is categorized under multimodal, reasoning, science, healthcare, agents, and vision. The benchmark evaluates multimodal models.

Which model offers the best value on LifeSciBench?

Among models scoring within 10% of the leader, GPT-5.6 Terra from OpenAI is the cheapest, at $2.00 per million input tokens with a score of 0.560.

How recent are the LifeSciBench leaderboard results?

The LifeSciBench leaderboard was last updated in August 2026 and currently includes 3 evaluated models.