SWE-MM
SWE-MM - multimodal software engineering benchmark. Evaluated on Claude Code harness using public dev split of SWE-bench Multimodal with modifications.
Category
Agentic Coding
Score type
percent
Scale
100%
higher is better
Models tested
2
What is SWE-MM?
SWE-MM is a benchmark for how well a model works as an autonomous coding agent. The official description says: "SWE-MM - multimodal software engineering benchmark". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
SWE-MM measures how well a model works as an autonomous coding agent. In detail, it checks:
- fixing real, open bugs from real software repositories
- planning multi-step changes, running commands and editing files by itself
- passing the project's test suite after its changes
- handling whole repositories, not just small isolated code snippets
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Official methodology note: SWE-MM - multimodal software engineering benchmark. Evaluated on Claude Code harness using public dev split of SWE-bench Multimodal with modifications.
Frequently asked questions
What is the SWE-MM benchmark?
SWE-MM is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'SWE-MM - multimodal software engineering benchmark'. Below we describe in simple words what benchmarks of this type generally examine.
What does SWE-MM test?
SWE-MM mainly measures how well a model works as an autonomous coding agent. Concretely, it checks: fixing real, open bugs from real software repositories; planning multi-step changes, running commands and editing files by itself; passing the project's test suite after its changes.
How is the SWE-MM score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get SWE-MM data and scores?
The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/swe-mm/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Model scores 2 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Qwen3.8-27B
Qwen Team (Alibaba Cloud)
|
38.6%
|
18.08.2026 | Report | Verified |
| 2 |
Qwen3.6-27B
Qwen Team (Alibaba Cloud)
|
25.7%
|
18.08.2026 | Report | Unverified |