FlagEval EmbodiedVerse - MMSI-Bench: leaderboard

BAAI FlagEval’s EmbodiedVerse suite, MMSI-Bench component: multi-image spatial intelligence, where the answer needs several views combined. Scored on FlagEval’s common scale so the thirteen component boards read against each other.

Metric: Score. Source: flageval.baai.ac.cn. Saturation forecast: Around December 2026. 24 models tracked.

Top models

#ModelScoreOverall rank
1GPT-540.9#98
2Gemini 2.5 Pro39.2#152
3Qwen 3 VL 235B A22B Instruct33.8#273
4Qwen 2.5 VL 72B Instruct32.6#377
5Claude Sonnet 4.532#142
6Qwen 3 VL 235B A22B (Thinking)31.2#238 (Qwen 3 VL 235B A22B)
7GPT-4.130.6#248
8Qwen 3 VL 30B A3B (Thinking)29.96#351 (Qwen 3 VL 30B A3B)
9Qwen 3 VL 30B A3B Instruct29.4#384
10O4 Mini29.2#180
11Qwen 2.5 VL 32B Instruct28.3#453
12Qwen 2.5 VL 7B Instruct27.2#654
13Phi-4 Multimodal Instruct27.2#906
14InternVL3-8B27.1#620
15InternVL3-78B26.7#352

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=flageval-embodiedverse-mmsi-bench · How It Works · Data refreshed daily, snapshot 2026-10-20.