MCPEvol-Bench - Planning Effectiveness (Late Stage): leaderboard
Metric: Planning Effectiveness score (1 to 10 rubric; servers after five evolution rounds; 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 2028. 12 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemma 4 31B (IT) | 6.68 |
| 2 | Claude Sonnet 4.6 | 6.17 |
| 3 | Claude Opus 4.6 | 6.03 |
| 4 | Qwen 3.5 27B | 5.12 |
| 5 | Claude Sonnet 4.5 (Thinking) | 4.98 |
| 6 | Qwen 3.5 9B | 4.86 |
| 7 | Llama 3.3 70B | 3.94 |
| 8 | GPT-5.4 | 3.87 |
| 9 | Gemini 2.5 Pro | 3.71 |
| 10 | GPT-5.1 | 3.5 |
| 11 | O3 | 3.1 |
| 12 | GPT-4o | 2.78 |
Interactive version: theaggregate.ai/benchmark?slug=mcpevol-bench-planning-effectiveness-late-stage · How It Works · Data refreshed daily, snapshot 2026-09-29.