Kimi Code Bench v2 (Internal)Browse 284 families

Kimi Code Bench v2 (Internal)

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

Version / measure
Domain
Coding
Ranked models
4
Reported values
4
Reports
1 · lab
Direction
Higher is better
Status
Version not specified

Rankings

Best reported score per model across effort settings

4 models
#ModelBest settingScore
1GPT-5.5OpenAIxhighcost n/a1 value · Jul 22 · source69.0%
2Claude Opus 4.8Anthropicxhighcost n/a1 value · Jul 22 · source67.4%
3Kimi K2.7 CodeMoonshot AIOWthinkingcost n/a1 value · Jul 22 · source62.0%
4Kimi K2.6Moonshot AIOWthinkingcost n/a1 value · Jul 22 · source50.9%

Effort curve

Score vs. reported cost. Lines connect complete sweeps only.

0 values
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 ↗