Kimi Code Bench v2 (Internal)Browse 296

Kimi Code Bench v2 (Internal)

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

Version not specifiedExact reported variant
Coding4 ranked models4 reported values1 reportsHigher is better

Top rankings

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

4
RankModelBest scoreBest reported setting
1GPT-5.5OpenAI69.0%xhigh effortMoonshot AI report1 value · 1 reportJul 22, 2026 · source
2Claude Opus 4.8Anthropic67.4%xhigh effortMoonshot AI report1 value · 1 reportJul 22, 2026 · source
3Kimi K2.7 CodeMoonshot AI62.0%thinking effortMoonshot AI report1 value · 1 reportJul 22, 2026 · source
4Kimi K2.6Moonshot AI50.9%thinking effortMoonshot AI report1 value · 1 reportJul 22, 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 boundaryinternal 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.

This is a publisher-defined internal evaluation. The task set or grading details are not fully public, so treat it as directional evidence.

Kimi Code CLI with thinking enabled, temperature 1.0, top-p 0.95, and 262,144-token context; GPT-5.5 used Codex xhigh and Claude Opus 4.8 used Claude Code xhigh.

Method / source