BioMysteryBench

BioMysteryBench evaluates a model's ability to reason through challenging molecular biology problems, reporting performance on a hard subset and on the subset of problems solved by human experts.

Claude Fable 5 from Anthropic currently leads the BioMysteryBench leaderboard with a score of 0.461 across 1 evaluated AI models.

About this benchmark

What BioMysteryBench measures

BioMysteryBench is a text benchmark that evaluates large language models on reasoning, science, and biology tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.5, with the leader reaching 0.5.

Compare leaders on the best AI for reasoning, best AI for science and best AI for biology leaderboards.

AnthropicClaude Fable 5 leads with 46.1%.

Progress Over Time

Interactive timeline showing model performance evolution on BioMysteryBench

State-of-the-art frontier
Open
Proprietary

BioMysteryBench Leaderboard

1 models
ContextCostLicense
1
Anthropic
Anthropic
1.0M$10.00 / $50.00
Notice missing or incorrect data?

FAQ

Common questions about BioMysteryBench.

What is the BioMysteryBench benchmark?

BioMysteryBench evaluates a model's ability to reason through challenging molecular biology problems, reporting performance on a hard subset and on the subset of problems solved by human experts.

What is the BioMysteryBench leaderboard?

The BioMysteryBench leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, Claude Fable 5 by Anthropic leads with a score of 0.461. The average score across all models is 0.461.

What is the highest BioMysteryBench score?

The highest BioMysteryBench score is 0.461, achieved by Claude Fable 5 from Anthropic.

How many models are evaluated on BioMysteryBench?

1 models have been evaluated on the BioMysteryBench benchmark, with 0 verified results and 1 self-reported results.

What categories does BioMysteryBench cover?

BioMysteryBench is categorized under reasoning, science, and biology. The benchmark evaluates text models.

Which model offers the best value on BioMysteryBench?

Among models scoring within 10% of the leader, Claude Fable 5 from Anthropic is the cheapest, at $10.00 per million input tokens with a score of 0.461.

How recent are the BioMysteryBench leaderboard results?

The BioMysteryBench leaderboard was last updated in June 2026 and currently includes 1 evaluated models.

More evaluations to explore

Related benchmarks in the same category

View all reasoning
GPQA

A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Questions are Google-proof and extremely difficult, with PhD experts reaching 65% accuracy.

reasoning
221 models
MMLU-Pro

A more robust and challenging multi-task language understanding benchmark that extends MMLU by expanding multiple-choice options from 4 to 10, eliminating trivial questions, and focusing on reasoning-intensive tasks. Features over 12,000 curated questions across 14 domains and causes a 16-33% accuracy drop compared to original MMLU.

reasoning
125 models
AIME 2025

All 30 problems from the 2025 American Invitational Mathematics Examination (AIME I and AIME II), testing olympiad-level mathematical reasoning with integer answers from 000-999. Used as an AI benchmark to evaluate large language models' ability to solve complex mathematical problems requiring multi-step logical deductions and structured symbolic reasoning.

reasoning
113 models
MMLU

Massive Multitask Language Understanding benchmark testing knowledge across 57 diverse subjects including STEM, humanities, social sciences, and professional domains

reasoning
99 models
SWE-Bench Verified

A verified subset of 500 software engineering problems from real GitHub issues, validated by human annotators for evaluating language models' ability to resolve real-world coding issues by generating patches for Python codebases.

reasoning
98 models
Humanity's Last Exam

Humanity's Last Exam (HLE) is a multi-modal academic benchmark with 2,500 questions across mathematics, humanities, and natural sciences, designed to test LLM capabilities at the frontier of human knowledge with unambiguous, verifiable solutions

reasoningmultimodal
80 models