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Benchmarks · coding

SWE Atlas-QnA

Agents explore real repositories with shell tools and answer deep codebase questions; rubric-graded Task Resolve Rate (all rubric items met). Best harness per model/effort.

22 models · 22 results · data as of 2026-10-29 · labs.scale.com ↗

Leaderboard

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22 of 22 selected
Opus 5 xhigh

All results

22 rows
#ModelEffortSWE Atlas-QnAHarness
1Opus 5xhigh63.2% ±5.0Claude Code
2Fable 5.1xhigh60.0% ±4.8Claude Code
3GPT-6 Astraxhigh59.1% ±4.9Codex
4Opus 4.8xhigh57.3% ±4.9Claude Code
5GLM 5.2max48.1% ±5.1Mini-SWE-Agent
6Gemini 3.8 Flashmax47.0% ±5.1Mini-SWE-Agent
7GPT-5.6 Solxhigh46.0% ±5.0Codex
8GPT-5.5xhigh45.4% ±5.1Codex
9Muse Spark 1.1xhigh42.2% ±5.1Mini-SWE-Agent
10GPT-5.4xhigh40.8% ±4.9Mini-SWE-Agent
11Opus 4.7max40.3% ±5.1Claude Code
12Fable 5xhigh39.0% ±5.0Claude Code
13Opus 4.6max33.3% ±5.0Claude Code
14GPT-5.3xhigh32.6% ±4.9Codex
15Sonnet 4.6max31.2% ±5.0Claude Code
16DeepSeek V4 Promax27.1% ±4.7Mini-SWE-Agent
17Muse Spark24.2% ±4.6
18GLM 5high20.5% ±4.5Mini-SWE-Agent
19Gemini 3.1 Prohigh13.5% ±3.9Mini-SWE-Agent
20Kimi K2.5max13.1% ±4.1Mini-SWE-Agent
21MiniMax M2.5high10.3% ±3.5Mini-SWE-Agent
22Gemini 3 Flashhigh8.2% ±3.3Mini-SWE-Agent