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SWE-bench Multimodal (SWE Multimodal)

A multimodal variant of SWE-bench that adds visual context such as screenshots and design mockups to software engineering issue descriptions.

Benchmark score on SWE Multimodal — June 2, 2026

BenchLM mirrors the published score view for SWE Multimodal. Claude Opus 4.8 leads the public snapshot at 38.4%. BenchLM does not use these results to rank models overall.

1 modelsCodingCurrentDisplay onlyUpdated June 2, 2026

About SWE Multimodal

Year

2025

Tasks

Multimodal software engineering tasks

Format

Code patch generation with visual context

Difficulty

Frontier multimodal coding

BenchLM stores provider-reported SWE-bench Multimodal values in the coding category when the model vendor reports the benchmark as part of a software-engineering capability suite.

BenchLM freshness & provenance

Version

SWE Multimodal 2025

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Benchmark score table (1 models)

1
38.4%

FAQ

What does SWE Multimodal measure?

A multimodal variant of SWE-bench that adds visual context such as screenshots and design mockups to software engineering issue descriptions.

Which model scores highest on SWE Multimodal?

Claude Opus 4.8 by Anthropic currently leads with a score of 38.4% on SWE Multimodal.

How many models are evaluated on SWE Multimodal?

1 AI models have been evaluated on SWE Multimodal on BenchLM.

Last updated: June 2, 2026 · BenchLM version SWE Multimodal 2025

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