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Can the model complete substantial programming work under this benchmark's agent setup?

Version not specifiedExact reported variant
Coding13 ranked models16 reported values3 reportsHigher is better

Top rankings

One row per model, using its best reported score across effort settings.

13
RankModelBest scoreBest reported setting
1Claude Opus 4.8Anthropic69.7%Reported configurationDeepSeek report1 value · 1 reportJul 31, 2026 · source
2DeepSeek V4 Flash 0731DeepSeek54.2%max effortDeepSeek report1 value · 1 reportJul 31, 2026 · source
3GLM-5.2Z.ai48.9%Reported configurationDeepSeek report1 value · 1 reportJul 31, 2026 · source
4Claude Opus 4.5Anthropic43.2%Reported configurationQwen report1 value · 1 reportApr 21, 2026 · source
5DeepSeek-V4-FlashDeepSeek39.4%Reported configurationDeepSeek report1 value · 1 reportJul 31, 2026 · source
6DeepSeek V4 ProDeepSeek38.5%Reported configurationDeepSeek report1 value · 1 reportJul 31, 2026 · source
7Qwen3.6-27BQwen36.2%Reported configurationQwen report1 value · 1 reportApr 21, 2026 · source
8Qwen3.5-397B-A17BQwen32.2%Reported configurationQwen report1 value · 1 reportApr 21, 2026 · source
9Qwen3.6-35B-A3BQwen29.4%Reported configurationQwen report2 values · 2 reportsApr 21, 2026 · source
10Qwen3.5-27BQwen27.3%Reported configurationQwen report2 values · 2 reportsApr 21, 2026 · source
11Qwen3.5-35B-A3BQwen20.5%Reported configurationQwen report1 value · 1 reportApr 15, 2026 · source
12Gemma4-31BGoogle15.5%Reported configurationQwen report2 values · 2 reportsApr 21, 2026 · source

Effort curve

Every sourced cost-linked effort value for this exact version. Lines connect complete sweeps only.

0
No cost-linked effort sweep for this version.
Definition and comparison boundarypublic methodology

Can the model complete substantial programming work under this benchmark's agent setup?

Software implementation, debugging, or repository work under the published evaluation protocol. Higher is better. The value is the percentage reported in this lab's table.

Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.

Other models evaluated via Claude Code with temp=1.0, top_p=0.95, max_turns=900.

Method / source