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multimodal benchmark

ChartQA

ChartQA is a large-scale benchmark comprising 9.6K human-written questions and 23.1K questions generated from human-written chart summaries, designed to evaluate models' abilities in visual and logical reasoning over charts.

Updated Aug 7, 2026

Published models24
Registry coverage24
MetricScore
EvidenceB

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ChartQA leaderboard

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

24 rows
Columns

Show columns

1ANClaude 3.5 SonnetAnthropic90.8%100.0%24CAug 7, 2026
2MELlama 4 MaverickMeta90.0%95.7%24CAug 7, 2026
3ACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen Team89.5%91.3%24CAug 7, 2026
4AMNova ProAmazon89.2%87.0%24CAug 7, 2026
5MELlama 4 ScoutMeta88.8%82.6%24CAug 7, 2026
6ACQwen2-VL-72B-InstructAlibaba Cloud / Qwen Team88.3%78.3%24CAug 7, 2026
7MAPixtral LargeMistral AI88.1%73.9%24CAug 7, 2026
8MAMistral Small 3.2 24B InstructMistral AI87.4%69.6%24CAug 7, 2026
9ACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen Team87.3%65.2%24CAug 7, 2026
10AMNova LiteAmazon86.8%60.9%24CAug 7, 2026
11DEDeepSeek VL2DeepSeek86.0%56.5%24CAug 7, 2026
12OPGPT-4oOpenAI85.7%52.2%24CAug 7, 2026
13MELlama 3.2 90B InstructMeta85.5%47.8%24CAug 7, 2026
14ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team85.3%43.5%24CAug 7, 2026
15DEDeepSeek VL2 SmallDeepSeek84.5%39.1%24CAug 7, 2026
16MELlama 3.2 11B InstructMeta83.4%34.8%24CAug 7, 2026
17MIPhi-3.5-vision-instructMicrosoft81.8%30.4%24CAug 7, 2026
18MAPixtral-12BMistral AI81.8%26.1%24CAug 7, 2026
19MIPhi-4-multimodal-instructMicrosoft81.4%21.7%24CAug 7, 2026
20DEDeepSeek VL2 TinyDeepSeek81.0%17.4%24CAug 7, 2026
21GOGemma 3 27BGoogle78.0%13.0%24CAug 7, 2026
22XAGrok-1.5VxAI76.1%8.7%24CAug 7, 2026
23GOGemma 3 12BGoogle75.7%4.3%24CAug 7, 2026
24GOGemma 3 4BGoogle68.8%0.0%24CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

ChartQA

ChartQA highlights

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

Rank #1Claude 3.5 Sonnet90.8%Rank #2Llama 4 Maverick90.0%Rank #3Qwen2.5 VL 72B Instruct89.5%Rank #4Nova Pro89.2%

What is ChartQA?

Definition and scoring fields from the benchmark registry.

ChartQA is a large-scale benchmark comprising 9.6K human-written questions and 23.1K questions generated from human-written chart summaries, designed to evaluate models' abilities in visual and logical reasoning over charts.

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

Family
ChartQA
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
chartqa|llm-stats-current

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

FAQ

Common questions about ChartQA.

Which model scores highest on ChartQA?

Claude 3.5 Sonnet is currently ranked first with 90.8%.

What does ChartQA measure?

ChartQA is a large-scale benchmark comprising 9.6K human-written questions and 23.1K questions generated from human-written chart summaries, designed to evaluate models' abilities in visual and logical reasoning over charts.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

24 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
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