OpenVLM MMBench V1.1 CN - Image Style: leaderboard
OpenCompass OpenVLM MMBench V1.1 Chinese split accuracy for image style recognition.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Around January 2027. 284 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro | 90.2 | #152 |
| 2 | InternVL2.5-78B | 87 | #431 |
| 3 | GPT-5 Mini (2025-08-07) | 85.9 | #172 |
| 4 | GPT-5 | 84.8 | #98 |
| 5 | InternVL3-78B | 84.8 | #352 |
| 6 | GPT-4.1 (2025-04-14) | 83.7 | #250 |
| 7 | Claude 3.7 Sonnet | 83.7 | #249 |
| 8 | Gemini 1.5 Flash (002) | 82.6 | #583 |
| 9 | Qwen 2 VL 7B | 82.6 | #750 |
| 10 | Claude 3.5 Sonnet | 82.6 | #350 |
| 11 | Qwen 2.5 VL 7B | 82.6 | #643 |
| 12 | GPT-4o ChatGPT | 82.6 | |
| 13 | Gemini 1.5 Pro (002) | 81.5 | #349 |
| 14 | Gemma 3 27B | 81.5 | #607 |
| 15 | Gemini 1.5 Flash | 81.5 | #618 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-1-cn-image-style · How It Works · Data refreshed daily, snapshot 2026-10-20.