Senior SWE-Bench: leaderboard

Senior SWE-Bench (Snorkel) — senior-engineer tasks from production PRs; tasteful solve rate combines verifier passes, expert rubrics and a code-quality taste judge. Rows preserve the primary-selected API model, reasoning effort and agent harness; reported denominators vary from 93 to 95 in the reviewed roster.

Metric: Tasteful Solve Rate (pass@1, %). Source: senior-swe-bench.snorkel.ai. Saturation forecast: Around August 2028. 22 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5.5 (High)39.33#3 (Claude Opus 5.5)
2GPT-6 Astra (High)36.84#6 (GPT-6 Astra)
3GPT-5.6 Sol (xHigh)34.74#19 (GPT-5.6 Sol)
4Claude Fable 5 (High)34.74#16 (Claude Fable 5)
5Claude Fable 5.1 (Medium)34.74#9 (Claude Fable 5.1)
6Claude Opus 4.8 (Max)30.53#37 (Claude Opus 4.8)
7GPT-5.5 (xHigh)29.47#31 (GPT-5.5)
8Claude Sonnet 5 (Max)27.96#57 (Claude Sonnet 5)
9Grok 4.7 (xHigh)27.37#25 (Grok 4.7)
10GPT-5.6 Terra (High)27.37#41 (GPT-5.6 Terra)
11Grok 4.6 (High)26.32#26 (Grok 4.6)
12Grok 4.5 (Medium)23.16#48 (Grok 4.5)
13DeepSeek V4.1 Flash (High)22.67#36 (DeepSeek V4.1 Flash)
14Kimi K3 (Max)20.21#30 (Kimi K3)
15Claude Opus 4.7 (Max)18.09#49 (Claude Opus 4.7)

No result here: #7 GPT-6.1 Sol, #8 Gemini 4 Argon, #10 Muse Wonder Full.

Interactive version: theaggregate.ai/benchmark?slug=senior-swe-bench · How It Works · Data refreshed daily, snapshot 2026-10-20.