EmbodiedBench Navigation: leaderboard

Low-level embodied control in AI2-THOR, where the model emits discrete movement actions to locate and reach a target object across base, commonsense, complex-instruction, visual, and long-horizon splits.

Metric: Avg Score (%). Source: embodiedbench.github.io. Saturation forecast: Estimated already saturated. 24 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o57.7#343
2InternVL3-78B53.7#352
3InternVL3-38B50.7#405
4Gemini 2.0 Flash48.7#342
5Gemma 3 27B (IT)45.4#523
6Claude 3.7 Sonnet45#249
7Claude 3.5 Sonnet44.7#350
8Gemini 1.5 Flash41.7#618
9Qwen 2.5 VL 72B Instruct40#377
10Gemma 3 12B (IT)34#664
11GPT-4o Mini32.8#599
12InternVL2.5-78B30.7#431
13Llama 3.2 90B Vision Instruct30#622
14InternVL3-8B29.3#620
15Gemini 1.5 Pro24.3#445

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

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