MCSBench - L1: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 82 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro (Preview) | 88.51 |
| 2 | GPT-5 | 87.36 |
| 3 | Claude Opus 4.6 | 86.21 |
| 4 | Gemini 2.5 Pro | 85.06 |
| 5 | Gemini 3 Flash (Preview) | 85.06 |
| 6 | Claude Sonnet 4.5 | 83.91 |
| 7 | Qwen 3 VL 235B A22B Instruct | 80.46 |
| 8 | Gemini 2.5 Flash | 77.01 |
| 9 | Qwen 2.5 VL 72B Instruct | 77.01 |
| 10 | GPT-5.2 | 75.86 |
| 11 | O4 Mini | 73.56 |
| 12 | Qwen 3 VL 235B A22B (Thinking) | 73.56 |
| 13 | Qwen 3 VL 30B A3B (Thinking) | 73.56 |
| 14 | Qwen 2.5 VL 32B Instruct | 72.41 |
| 15 | GPT-5 Mini | 71.26 |
Interactive version: theaggregate.ai/benchmark?slug=mcsbench-l1 · How It Works · Data refreshed daily, snapshot 2026-09-19.