MCSBench - Overall: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 82 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro (Preview) | 83.51 |
| 2 | Gemini 3 Flash (Preview) | 80.79 |
| 3 | GPT-5 | 78.37 |
| 4 | Claude Opus 4.6 | 75.19 |
| 5 | Gemini 2.5 Pro | 74.13 |
| 6 | GPT-5.2 | 70.35 |
| 7 | Gemini 2.5 Flash | 66.57 |
| 8 | O4 Mini | 66.26 |
| 9 | GPT-5 Mini | 63.69 |
| 10 | Qwen 3 VL 235B A22B (Thinking) | 62.63 |
| 11 | Qwen 3 VL 235B A22B Instruct | 62.18 |
| 12 | Qwen 2.5 VL 72B Instruct | 60.06 |
| 13 | Qwen 3 VL 30B A3B (Thinking) | 59.15 |
| 14 | Claude Sonnet 4.5 | 59 |
| 15 | Qwen 3 VL 30B A3B Instruct | 58.85 |
Interactive version: theaggregate.ai/benchmark?slug=mcsbench-overall · How It Works · Data refreshed daily, snapshot 2026-09-19.