MCP-Persona - Social Media: leaderboard
Metric: Checkpoint accuracy (%): mean LLM-judged score (0, 0.5 or 1) of the sub-task checkpoints in a task, averaged over tasks, single-server social-media tasks (Rednote, Reddit, Instagram); 173 human-verified personal-application tasks on 12 simulated MCP servers (Lark, Slack, WeCom, Notion, Obsidian, Rednote, Reddit, Instagram, email and search tools), up to 20 tool-calling rounds, GPT-4o judge; higher is better. Source: arxiv.org. Saturation forecast: Around 2034. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.5 | 47.04 |
| 2 | Claude Opus 4.1 | 44.79 |
| 3 | GPT-5 | 42.64 |
| 4 | Qwen 3 235B A22B 2507 Instruct | 40.05 |
| 5 | Grok 4 | 39.43 |
| 6 | DeepSeek V3 (0324) | 38.35 |
| 7 | GPT-4o (2024-11-20) | 36.98 |
| 8 | O4 Mini | 35.61 |
| 9 | O3 | 32.78 |
| 10 | Qwen3 Coder | 31.34 |
| 11 | Gemini 2.5 Pro | 26.22 |
| 12 | Gemini 3 Pro | 23.38 |
Interactive version: theaggregate.ai/benchmark?slug=mcp-persona-social-media · How It Works · Data refreshed daily, snapshot 2026-09-29.