MCPEvol-Bench - Planning Effectiveness (Early Stage): leaderboard
Metric: Planning Effectiveness score (1 to 10 rubric; original servers; 201 synthesized multi-server tasks over a fixed set of candidate MCP servers from 123 real servers; rubric scores on a 1 to 10 scale from a DeepSeek-Chat judge over the instruction, final answer and execution trajectory (MCP-Bench evaluation framework)). Source: arxiv.org. Saturation forecast: Around December 2026. 12 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.6 | 6.76 |
| 2 | Claude Opus 4.6 | 6.7 |
| 3 | Gemma 4 31B (IT) | 6.67 |
| 4 | Claude Sonnet 4.5 (Thinking) | 6.17 |
| 5 | GPT-5.4 | 5.71 |
| 6 | Qwen 3.5 27B | 5.57 |
| 7 | Qwen 3.5 9B | 4.89 |
| 8 | Gemini 2.5 Pro | 4.62 |
| 9 | GPT-5.1 | 4.35 |
| 10 | O3 | 3.79 |
| 11 | Llama 3.3 70B | 3.56 |
| 12 | GPT-4o | 2.85 |
Interactive version: theaggregate.ai/benchmark?slug=mcpevol-bench-planning-effectiveness-early-stage · How It Works · Data refreshed daily, snapshot 2026-09-29.