Benchmarks / Coding

Scale SEAL: SWE-Bench Pro V2 Full

Scale AI’s refreshed public SWE-Bench Pro split (642 long-horizon tasks in 11 copyleft repositories) run under a locked protocol, scored by resolve rate. Maintained by Scale AI. Score: Resolve rate on the full V2 public split (percent); ± is the published confidence half-width.

12models
–Open Index weight
–last updated

Scale SEAL: SWE-Bench Pro V2 Full

Higher is better · best effort per model

Chart settings
12 of 12 selected

full table below

#ModelEffortScoreCost / taskHarness
1Opus 5xhigh99.4%––
2Fable 5.1high99.1%––
3Kimi K3max97.7%––
4GPT-6 Astra Codexhigh96.9%––
5GPT-6.1 Sol Minixhigh96.1%––
6GLM 5.3max95.6%––
7GPT-5.6 Sol Codexxhigh95.5%––
8Gemini 3.8 Flashhigh94.9%––
9Sonnet 5xhigh93.2%––
10GPT-5.6 Terra Codexxhigh92.4%––
11Inklingxhigh89.9%––
12Haiku 5.5high87.2%––