llmboard.ai
Benchmarks
CompareRankings
llmboard.ai
Benchmarks
CompareRankings
HomeBenchmarksmultimodalChartQA

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 11, 2026

Models24
Model coverage24
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

ChartQA Ranking

Higher score ranks better on this benchmark.

24 rows
Columns

Show columns

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

ChartQA Score Distribution

A closer view of the leading scores on this benchmark.

ChartQA

ChartQA Highlights

The leading models and scores on this benchmark.

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?

What ChartQA measures and how its scores work.

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

Family
ChartQA
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
chartqa|llm-stats-current

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

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 model results are currently shown.

Does this benchmark affect the overall score?

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

Rankings

OverallCodingText ArenaPricing

Modalities

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

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai