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multimodal benchmark

SWE-Bench Multimodal

SWE-Bench Multimodal extends SWE-Bench to evaluate language models on software engineering tasks that involve visual inputs such as screenshots, UI mockups, and diagrams alongside code understanding.

Updated Aug 7, 2026

Published models3
Registry coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

SWE-Bench Multimodal leaderboard

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

3 rows
Columns

Show columns

1ANClaude Mythos PreviewAnthropic59.0%100.0%3CAug 7, 2026
2ANClaude Opus 4.8Anthropic38.4%50.0%3CAug 7, 2026
3ANClaude Sonnet 5Anthropic28.1%0.0%3CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

SWE-Bench Multimodal

SWE-Bench Multimodal highlights

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

Rank #1Claude Mythos Preview59.0%Rank #2Claude Opus 4.838.4%Rank #3Claude Sonnet 528.1%

What is SWE-Bench Multimodal?

Definition and scoring fields from the benchmark registry.

SWE-Bench Multimodal extends SWE-Bench to evaluate language models on software engineering tasks that involve visual inputs such as screenshots, UI mockups, and diagrams alongside code understanding.

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

Family
SWE-Bench Multimodal
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
swe-bench-multimodal|llm-stats-current

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

FAQ

Common questions about SWE-Bench Multimodal.

Which model scores highest on SWE-Bench Multimodal?

Claude Mythos Preview is currently ranked first with 59.0%.

What does SWE-Bench Multimodal measure?

SWE-Bench Multimodal extends SWE-Bench to evaluate language models on software engineering tasks that involve visual inputs such as screenshots, UI mockups, and diagrams alongside code understanding.

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
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