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 11, 2026
Models3
Model coverage3
MetricScore
EvidenceB
SWE-Bench Multimodal Ranking
Higher score ranks better on this benchmark.
| 01 | AN | 59.0% | 100.0% | 3 | C | |
| 02 | AN | 38.4% | 50.0% | 3 | C | |
| 03 | AN | 28.1% | 0.0% | 3 | C |
SWE-Bench Multimodal Score Distribution
A closer view of the leading scores on this benchmark.
SWE-Bench Multimodal Highlights
The leading models and scores on this benchmark.
What is SWE-Bench Multimodal?
What SWE-Bench Multimodal measures and how its scores work.
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. This benchmark is not independently verified and has an evidence level of B.
- Family
- SWE-Bench Multimodal
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- swe-bench-multimodal|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
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 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.