llmboard.ai
Benchmarks
CompareRankings
llmboard.ai
Benchmarks
CompareRankings
HomeBenchmarkssafetyFigQA

safety benchmark

FigQA

FigQA is a multiple-choice benchmark on interpreting scientific figures from biology papers. It evaluates dual-use biological knowledge and multimodal reasoning relevant to bioweapons development.

Updated Aug 7, 2026

Published models3
Registry coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

FigQA leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

3 rows
Columns

Show columns

1ANClaude Mythos PreviewAnthropic89.0%100.0%3CAug 7, 2026
2ANClaude Opus 4.6Anthropic78.3%50.0%3CAug 7, 2026
3XAGrok-4.1 ThinkingxAI34.0%0.0%3CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

FigQA

FigQA highlights

The top published results on this benchmark's own scale.

Rank #1Claude Mythos Preview89.0%Rank #2Claude Opus 4.678.3%Rank #3Grok-4.1 Thinking34.0%

What is FigQA?

Definition and scoring fields from the benchmark registry.

FigQA is a multiple-choice benchmark on interpreting scientific figures from biology papers. It evaluates dual-use biological knowledge and multimodal reasoning relevant to bioweapons development.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
FigQA
Modality
multimodal
Primary category
safety
Score direction
higher
LLMBoard eligible
No
Evaluation key
figqa|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about FigQA.

Which model scores highest on FigQA?

Claude Mythos Preview is currently ranked first with 89.0%.

What does FigQA measure?

FigQA is a multiple-choice benchmark on interpreting scientific figures from biology papers. It evaluates dual-use biological knowledge and multimodal reasoning relevant to bioweapons development.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai