MCP Atlas
Multi-step tool-use workflows using an MCP server. Subsets and graders differ by source (stated in conditions).
- Category
- Tool use
- Unit
- Percent (%)
- Higher is better
- Comparison groups
- 1total
- All model rankings (records) · Ranked results: 1
All model rankings (records)
These rankings are recalculated by comparison group including legacy models and models unavailable in Claude Code / Codex. They differ from the rankings above because the set of models differs.
Show rankings including legacy and unavailable models (entries: 1)
official results (Kimi K3 (Hugging Face model card, moonshotai))
| Rank | Model | effort | Score | Source cost (metric) | measured/reported by | source |
|---|---|---|---|---|---|---|
| 1 | Kimi K3 | Max | 84.2% | — | Moonshot AI | Kimi K3 (Hugging Face model card, moonshotai)Retrieved 2026-11-13 · Vendor-reported value (self-reported by Moonshot AI). Table note: All Kimi K3 results are obtained with reasoning effort set to 'max' and temperature = 1.0. Subset of 500 public tasks; limit of 100 turns; grading by Gemini 3.1 Pro.Source excerptMCP-Atlas | 84.2Location HF model card "3. Evaluation Results" table, MCP-Atlas row, Kimi K3 (max) column (leftmost numeric column). Supporting footnote: Agentic / MCP-Atlas |