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

multimodal benchmark

GDP.pdf Leaderboard

GDP.pdf is a knowledge-work vision benchmark that evaluates models on economically valuable professional tasks presented as visual documents (PDFs), testing document-based reasoning, chart and table interpretation, and problem solving without tools.

Updated Aug 17, 2026

Models6
Model coverage6
MetricScore
EvidenceB

On this page

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

GDP.pdf Ranking

Higher score ranks better on this benchmark.

6 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude Sonnet 5AnthropicScore81.6%Percentile100.0%Participants6EvidenceCEvaluatedAug 17, 2026
Rank02ModelGOGemini 3.7 FlashGoogleScore34.0%Percentile80.0%Participants6EvidenceCEvaluatedAug 17, 2026
Rank03ModelOPGPT-5.6 SolOpenAIScore30.7%Percentile60.0%Participants6EvidenceCEvaluatedAug 17, 2026
Rank04ModelANClaude Fable 5AnthropicScore29.8%Percentile40.0%Participants6EvidenceCEvaluatedAug 17, 2026
Rank05ModelOPGPT-5.6 TerraOpenAIScore24.7%Percentile20.0%Participants6EvidenceCEvaluatedAug 17, 2026
Rank06ModelOPGPT-5.6 LunaOpenAIScore22.7%Percentile0.0%Participants6EvidenceCEvaluatedAug 17, 2026

GDP.pdf Highlights

The leading models and scores on this benchmark.

Rank #1Claude Sonnet 581.6%Rank #2Gemini 3.7 Flash34.0%Rank #3GPT-5.6 Sol30.7%Rank #4Claude Fable 529.8%

GDP.pdf Score Distribution

A closer view of the leading scores on this benchmark.

GDP.pdf

The Top AI Models for GDP.pdf

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

Ranking basisThis gdp.pdf 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 Sonnet 5Anthropic
    Score
    81.6%
    Price
    $2.0 input / $10 output per 1M tokens
    Speed
    Up to 11 tok/s via Anthropic

    Strengths

    • Ranks #1 of 6 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GDP.pdf, not total model capability
  2. 02
    GO
    Gemini 3.7 FlashGoogle
    Score
    34.0%
    Price
    $0.75 input / $3.8 output per 1M tokens
    Speed
    Up to 13 tok/s via Google

    Strengths

    • Ranks #2 of 6 compared models
    • 80th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GDP.pdf, not total model capability
  3. 03
    OP
    GPT-5.6 SolOpenAI
    Score
    30.7%
    Price
    $5.0 input / $30 output per 1M tokens
    Speed
    Up to 27 tok/s via OpenAI

    Strengths

    • Ranks #3 of 6 compared models
    • 60th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GDP.pdf, not total model capability
  4. 04
    AN
    Claude Fable 5Anthropic
    Score
    29.8%
    Price
    $10 input / $50 output per 1M tokens
    Speed
    Up to 9.1 tok/s via Anthropic

    Strengths

    • Ranks #4 of 6 compared models
    • 40th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GDP.pdf, not total model capability
  5. 05
    OP
    GPT-5.6 TerraOpenAI
    Score
    24.7%
    Price
    $2.0 input / $12 output per 1M tokens
    Speed
    Up to 35 tok/s via OpenAI

    Strengths

    • Ranks #5 of 6 compared models
    • 20th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GDP.pdf, not total model capability

Selection summary

Best AI Models for GDP.pdf

Claude Sonnet 5 currently leads GDP.pdf with 81.6%. 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 Sonnet 581.6% · $2.0 input / $10 output per 1M tokensBenchmark rank #2Gemini 3.7 Flash34.0% · $0.75 input / $3.8 output per 1M tokensBenchmark rank #3GPT-5.6 Sol30.7% · $5.0 input / $30 output per 1M tokens

What is GDP.pdf?

What GDP.pdf measures and how its scores work.

GDP.pdf is a knowledge-work vision benchmark that evaluates models on economically valuable professional tasks presented as visual documents (PDFs), testing document-based reasoning, chart and table interpretation, and problem solving without tools.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
GDP.pdf
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
gdp-pdf|llm-stats-current

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

FAQ

Common questions about GDP.pdf.

Which model scores highest on GDP.pdf?

Claude Sonnet 5 is currently ranked first with 81.6%.

What does GDP.pdf measure?

GDP.pdf is a knowledge-work vision benchmark that evaluates models on economically valuable professional tasks presented as visual documents (PDFs), testing document-based reasoning, chart and table interpretation, and problem solving without tools.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

6 model results are currently shown.

Does this benchmark affect the overall score?

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