MMErroR - Error Type Classification - Biology & Healthcare: leaderboard
Metric: Error Type Classification Accuracy (%). Source: arxiv.org. Saturation forecast: Around 2030. 12 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 32B (Thinking) | 65.83 |
| 2 | Gemini 3 Pro (Preview) | 64.43 |
| 3 | GLM-4.6V | 63.87 |
| 4 | Grok 4 | 61.34 |
| 5 | GPT-5.2 (xHigh) | 60.5 |
| 6 | Seed 2.0 Pro | 59.94 |
| 7 | Kimi K2.5 | 58.82 |
| 8 | Qwen 3 VL 32B Instruct | 58.54 |
| 9 | Claude Opus 4.5 | 57.7 |
| 10 | Llama 4 Maverick Instruct | 50.14 |
| 11 | Llama 4 Scout Instruct | 49.02 |
Interactive version: theaggregate.ai/benchmark?slug=mmerror-error-type-classification-biology-healthcare · How It Works · Data refreshed daily, snapshot 2026-09-25.