Rynn-GEU - Direct Answer - Average: leaderboard

RynnUnify Table 3 direct answering from original benchmark inputs, without generated-video rollouts or the additional RL-trained agent. Rynn-GEU has ten subsets; the native task-specific scores and their published average are reported on a 0–100 scale. Per-model effort/frame settings are not reported and remain source-scoped. Public oracle-rollout release is a different input protocol and does not substitute for these direct answers. Reported metric: Average.

Metric: Published task score (0–100). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Terra (Rynn-GEU Run: direct-answer; effort and frames unreported)45.1
2RynnUnify 16B (Rynn-GEU Run: direct-answer; effort and frames unreported)44
3Embodied R1.5 8B (Rynn-GEU Run: direct-answer; effort and frames unreported)39.1
4RynnBrain 8B (Rynn-GEU Run: direct-answer; effort and frames unreported)38.9
5Claude Sonnet 5 (Rynn-GEU Run: direct-answer; effort and frames unreported)38.1
6Cosmos 3 Nano (Rynn-GEU Run: direct-answer; effort and frames unreported)37.3
7Qwen3 VL 8B Instruct (Rynn-GEU Run: direct-answer; effort and frames unreported)36.9
8Qwen3.5 9B (Rynn-GEU Run: direct-answer; effort and frames unreported)33.2
9RxBrain (Rynn-GEU Run: direct-answer; effort and frames unreported)31.4
10MiMo Embodied 7B (Rynn-GEU Run: direct-answer; effort and frames unreported)31.2

Interactive version: theaggregate.ai/benchmark?slug=rynn-geu-direct-answer-average · How It Works · Data refreshed daily, snapshot 2026-11-05.