Kimi Claw 24/7 Bench (Internal)Browse 284 families
Kimi Claw 24/7 Bench (Internal)
Can the model plan, use tools, and finish a multi-step task?
Version / measure
- Domain
- Agents
- 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
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | GPT-5.5OpenAI | xhighcost n/a1 value · Jul 22 · source | 52.8% |
| 2 | Claude Opus 4.8Anthropic | xhighcost n/a1 value · Jul 22 · source | 50.4% |
| 3 | Kimi K2.7 CodeMoonshot AIOW | thinkingcost n/a1 value · Jul 22 · source | 46.9% |
| 4 | Kimi K2.6Moonshot AIOW | thinkingcost n/a1 value · Jul 22 · source | 42.9% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundaryinternal methodology
Can the model plan, use tools, and finish a multi-step task?
Agentic execution across tools, environments, or long-running workflows. 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 ↗