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MLS Bench Lite

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
1Claude Opus 4.8Anthropicxhighcost n/a1 value · Jul 22 · source42.8%
2GPT-5.5OpenAIxhighcost n/a1 value · Jul 22 · source35.5%
3Kimi K2.7 CodeMoonshot AIOWthinkingcost n/a1 value · Jul 22 · source35.1%
4Kimi K2.6Moonshot AIOWthinkingcost n/a1 value · Jul 22 · source26.7%

Effort curve

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

0 values
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.

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 ↗