# Video-MME (with subtitle) → CountBench

Calibration · https://benchgap.net/calibration/1626 · data retrieved 2026-10-29

CountBench is estimated from Video-MME (with subtitle) with a offset logistic curve fitted on 7 models measured on both: y = 0.9164 + (0.9839 − 0.9164) / (1 + exp(−200.00·(x − 0.8717))), R² = 0.83, cross-validated error 2.0 pp. It is used for 2 estimates.

| Estimated model | Video-MME (with subtitle) | CountBench | Source |
|---|---|---|---|
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 87.7% | 96.7% | estimated ± 2.0 pp, medium confidence |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 85.4% | 91.8% | estimated ± 2.0 pp, medium confidence |

## Fitted on

| Model | Video-MME (with subtitle) | CountBench |
|---|---|---|
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 77.6% | 90.6% |
| [Gemini 3 Pro](https://benchgap.net/model/gemini-3-pro.md) | 88.4% | 97.3% |
| [GPT-5.2](https://benchgap.net/model/gpt-5-2.md) | 86.0% | 91.9% |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 87.4% | 94.1% |
| [LFM3-VL-2B](https://benchgap.net/model/lfm3-vl-2b.md) | 69.0% | 93.0% |
| [Qwen3.5 397B](https://benchgap.net/model/qwen3-5-397b.md) | 87.5% | 97.2% |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 87.7% | 97.8% |