llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model DirectoryCompare Models

Scoring & Data

Scoring & Data
393 models668 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll BenchmarksReasoningMath

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai

safety benchmark

FigQA Leaderboard

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 17, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

FigQA Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude Mythos PreviewAnthropicScore89.0%Percentile100.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank02ModelANClaude Opus 4.6AnthropicScore78.3%Percentile50.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank03ModelXAGrok-4.1 ThinkingxAIScore34.0%Percentile0.0%Participants3EvidenceCEvaluatedAug 17, 2026

FigQA Highlights

The leading models and scores on this benchmark.

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

FigQA Score Distribution

A closer view of the leading scores on this benchmark.

FigQA

The Top AI Models for FigQA

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis figqa AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AN
    Claude Mythos PreviewAnthropic
    Score
    89.0%

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FigQA, not total model capability
  2. 02
    AN
    Claude Opus 4.6Anthropic
    Score
    78.3%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 17 tok/s via Anthropic

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FigQA, not total model capability
  3. 03
    XA
    Grok-4.1 ThinkingxAI
    Score
    34.0%
    Speed
    Up to 80 tok/s via xAI

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FigQA, not total model capability

Selection summary

Best AI Models for FigQA

Claude Mythos Preview currently leads FigQA with 89.0%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1Claude Mythos Preview89.0%Benchmark rank #2Claude Opus 4.678.3% · $5.0 input / $25 output per 1M tokensBenchmark rank #3Grok-4.1 Thinking34.0% · Up to 80 tok/s via xAI

What is FigQA?

What FigQA measures and how its scores work.

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. This benchmark is not independently verified and has an evidence level of B.

Family
FigQA
Modality
multimodal
Primary category
safety
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
figqa|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

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 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.