Embodied-BenchForge - Static Scene: leaderboard

Mean accuracy across six Offline EQA benchmarks, each first averaged over its capability dimensions. Scores are percentages; exact evaluated checkpoints and reasoning configurations follow the paper’s Appendix Table 21.

Metric: Mean Accuracy (%, six Offline EQA benchmarks). Source: arxiv.org. Saturation forecast: Around 2030. 11 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.7 (High)56.61#51 (Claude Opus 4.7)
2Gemini 3 Flash (Preview) (High)51.97#90 (Gemini 3 Flash (Preview))
3Qwen 3.6 35B A3B (Thinking)49.86#238 (Qwen 3.6 35B A3B)
4Claude Sonnet 4.6 (High)42.54#94 (Claude Sonnet 4.6)
5Qwen 3.5 4B (Thinking)35.97#514 (Qwen 3.5 4B)
6Claude Haiku 4.5 (Non-reasoning)34.73#287 (Claude Haiku 4.5)
7Qwen 3.5 2B (Non-reasoning)32.07#1114 (Qwen 3.5 2B)
8Qwen 3.5 0.8B (Non-reasoning)30.34#1410 (Qwen 3.5 0.8B)

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

Interactive version: theaggregate.ai/benchmark?slug=embodied-benchforge-static-scene · How It Works · Data refreshed daily, snapshot 2026-11-05.