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LLM Stats
MCP-Mark
MCP-Mark evaluates LLMs on their ability to use Model Context Protocol (MCP) tools effectively, testing tool discovery, selection, invocation, and result interpretation across diverse MCP server scenarios.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 8
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Kimi K2.7 Code | 0.811 | Not recorded | Not recorded | 2026-06-12 · model_announcement | LLM Stats |
| Qwen3.7 Max | 0.608 | Not recorded | Not recorded | 2026-05-19 · model_announcement | LLM Stats |
| Qwen3.7-Plus | 0.587 | Not recorded | Not recorded | 2026-05-31 · model_announcement | LLM Stats |
| Kimi K2.6 | 0.559 | Not recorded | Not recorded | 2026-04-20 · model_announcement | LLM Stats |
| Qwen3.6 Plus | 0.482 | Not recorded | Not recorded | 2026-04-02 · model_announcement | LLM Stats |
| Qwen3.5-397B-A17B | 0.461 | Not recorded | Not recorded | 2026-02-16 · model_announcement | LLM Stats |
| DeepSeek-V3.2 | 0.38 | Not recorded | Not recorded | 2025-12-01 · model_announcement | LLM Stats |
| Qwen3.6-35B-A3B | 0.37 | Not recorded | Not recorded | 2026-04-16 · model_announcement | LLM Stats |