SkillsBench Avg5Browse 296

SkillsBench Avg5

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

Version not specifiedExact reported variant
Coding8 ranked models11 reported values2 reportsHigher is better

Top rankings

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

8
RankModelBest scoreBest reported setting
1Qwen3.6-27BQwen48.2%Reported configurationQwen report1 value · 1 reportApr 21, 2026 · source
2Claude Opus 4.5Anthropic45.3%Reported configurationQwen report1 value · 1 reportApr 21, 2026 · source
3Qwen3.5-397B-A17BQwen30.0%Reported configurationQwen report1 value · 1 reportApr 21, 2026 · source
4Qwen3.6-35B-A3BQwen28.7%Reported configurationQwen report2 values · 2 reportsApr 21, 2026 · source
5Qwen3.5-27BQwen27.2%Reported configurationQwen report2 values · 2 reportsApr 21, 2026 · source
6Gemma4-31BGoogle23.6%Reported configurationQwen report2 values · 2 reportsApr 21, 2026 · source
7Gemma4-26B-A4BGoogle12.3%Reported configurationQwen report1 value · 1 reportApr 15, 2026 · source
8Qwen3.5-35B-A3BQwen4.4%Reported configurationQwen report1 value · 1 reportApr 15, 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.

OpenCode on 78 self-contained tasks excluding API-dependent tasks; average of five runs.

Method / source