MCP Mark VerifiedBrowse 284 families
MCP Mark Verified
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 | 92.9% |
| 2 | Kimi K2.7 CodeMoonshot AIOW | thinkingcost n/a1 value · Jul 22 · source | 81.1% |
| 3 | Claude Opus 4.8Anthropic | xhighcost n/a1 value · Jul 22 · source | 76.4% |
| 4 | Kimi K2.6Moonshot AIOW | thinkingcost n/a1 value · Jul 22 · source | 72.8% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundarypublic 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.
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 ↗