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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.

14 models · 14 results · data as of 2026-10-29 · labs.scale.com ↗

Leaderboard

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14 of 14 selected
Opus 5 xhigh

All results

14 rows
#ModelEffortScore
1Opus 5xhigh99.4%
2Gemini 4 Argonhigh99.2%
3Fable 5.1high99.1%
4Kimi K3max97.7%
5GPT-6 Astra Codexhigh96.9%
6GPT-6.1 Sol Minixhigh96.1%
7Sonnet 5.5xhigh95.8%
8GLM 5.3max95.6%
9GPT-5.6 Sol Codexxhigh95.5%
10Gemini 3.8 Flashhigh94.9%
11Sonnet 5xhigh93.2%
12GPT-5.6 Terra Codexxhigh92.4%
13Inklingxhigh89.9%
14Haiku 5.5high87.2%