FlagEval EmbodiedVerse - ERQA: leaderboard

BAAI FlagEval’s EmbodiedVerse suite, ERQA component: embodied reasoning question answering over robot-perspective 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-559.25#98
2Gemini 2.5 Pro57#152
3GPT-4.154#248
4Qwen 3 VL 235B A22B Instruct51.75#273
5Qwen 3 VL 235B A22B (Thinking)51#238 (Qwen 3 VL 235B A22B)
6Qwen 3 VL 30B A3B Instruct46.75#384
7Qwen 3 VL 30B A3B (Thinking)45.25#351 (Qwen 3 VL 30B A3B)
8Claude Sonnet 4.544.25#142
9Qwen 2.5 VL 32B Instruct42#453
10InternVL3-78B41.5#352
11Qwen 2.5 VL 72B Instruct40.5#377
12O4 Mini39.75#180
13Mistral Small 3.239#605
14InternVL3-8B37#620
15Qwen 2.5 VL 7B Instruct36.25#654

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-erqa · How It Works · Data refreshed daily, snapshot 2026-10-20.