FlagEval EmbodiedVerse - VSI-Bench (tiny): leaderboard

BAAI FlagEval’s EmbodiedVerse suite, VSI-Bench (tiny) component: the tiny split of VSI-Bench, video-based spatial intelligence over walked-through scenes. 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 November 2026. 24 models tracked.

Top models

#ModelScoreOverall rank
1GPT-557.53#98
2Qwen 3 VL 235B A22B (Thinking)54.74#238 (Qwen 3 VL 235B A22B)
3Gemini 2.5 Pro49.13#152
4Qwen 3 VL 235B A22B Instruct48.67#273
5Qwen 3 VL 30B A3B Instruct47.49#384
6Qwen 3 VL 30B A3B (Thinking)45.92#351 (Qwen 3 VL 30B A3B)
7GPT-4.145.36#248
8Claude Sonnet 4.545.28#142
9InternVL3-78B45.03#352
10Qwen 2.5 VL 72B Instruct39.62#377
11Qwen 2.5 VL 32B Instruct39.13#453
12InternVL3-8B38.09#620
13O4 Mini33.47#180
14Qwen 2.5 VL 7B Instruct17.17#654
15Phi-4 Multimodal Instruct16.22#906

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-vsi-bench-tiny · How It Works · Data refreshed daily, snapshot 2026-10-20.