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SWE-bench Multimodal (SWE Multimodal)

We show this table for reference; we do not rank on it.

Data verified

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 — November 11, 2026

We compile the SWE Multimodal rows from provider self-reports. Claude Fable 5.2 leads the table at 74.1%, followed by Claude Opus 5.5 (61.4%) and Claude Opus 5 (59.4%). We do not use these results to rank models overall.

7 modelsCodingCurrentDisplay onlyUpdated November 11, 2026

Benchmark score table (7 models)

Benchmark score results for SWE Multimodal
RankModel / configurationScoreParameters (B)Open / closed
1Claude Fable 5.2Anthropic
74.1%
Not reportedClosed
2Claude Opus 5.5Anthropic
61.4%
Not reportedClosed
3Claude Opus 5Anthropic
59.4%
Not reportedClosed
4Claude Fable 5.1Anthropic
54.7%
Not reportedClosed
5Claude Sonnet 5.5Anthropic
54.3%
Not reportedClosed
6Claude Opus 4.8Anthropic
38.4%
Not reportedClosed
7Claude Sonnet 5Anthropic
28.1%
Not reportedClosed

Among the reported SWE Multimodal rows, Claude Fable 5.2 is first at 74.1%. The third row is 14.7 points behind. The broader top-10 range is 46.0 points, so the table still separates the published systems.

7 models have been evaluated on SWE Multimodal. The benchmark falls in the Coding category. SWE Multimodal is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

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.

Freshness and 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.

Questions

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 Fable 5.2 by Anthropic currently leads with a score of 74.1% on SWE Multimodal.

How many models are evaluated on SWE Multimodal?

7 AI models have published results on SWE Multimodal in the BenchLM catalog.

Last updated: November 11, 2026 · BenchLM version SWE Multimodal 2025

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