Benchmarks / Coding

SWE-bench Multimodal

A 480-instance SWE-bench variant whose issue descriptions include visual elements. Maintained by SWE-bench Team. Score: % Resolved: percentage of task instances solved.

11models
–Open Index weight
–last updated

SWE-bench Multimodal

Higher is better · best effort per model

Chart settings
11 of 11 selected

full table below

#ModelEffortScoreCost / taskHarness
1Opus 5max59.4%––
2Fable 5.1max54.7%––
3Fable 5max54.1%––
4Opus 4.8max38.4%––
5o3high36.0%–GUIRepair
6Opus 4.7max34.5%––
7Sonnet 4high34.4%–OpenHands-Versa
8o4 minihigh33.9%–GUIRepair
9GPT-4.1high31.1%–GUIRepair
10GPT-4ohigh30.4%–GUIRepair
11Sonnet 3.5medium12.2%–SWE-agent