FlagEval EmbodiedVerse - Where2Place: leaderboard

BAAI FlagEval’s EmbodiedVerse suite, Where2Place component: placement grounding, asking where in the scene an object should go. 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 February 2027. 24 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 235B A22B Instruct58.35#273
2Qwen 3 VL 235B A22B (Thinking)52.61#238 (Qwen 3 VL 235B A22B)
3Qwen 3 VL 30B A3B (Thinking)38.82#351 (Qwen 3 VL 30B A3B)
4GPT-538.5#98
5Qwen 2.5 VL 72B Instruct38.35#377
6GPT-4.136.67#248
7Gemini 2.5 Pro36.27#152
8InternVL3-78B24.12#352
9Qwen 2.5 VL 32B Instruct21.63#453
10Mistral Small 3.216.66#605
11Claude Sonnet 4.515.8#142
12InternVL3-8B14.6#620
13Qwen 3 VL 30B A3B Instruct13.16#384
14O4 Mini9.97#180
15Phi-4 Multimodal Instruct5.71#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-where2place · How It Works · Data refreshed daily, snapshot 2026-10-20.