SAW-Bench - Route Shape: leaderboard

Metric: Accuracy (%) on the 546 route shape questions (the shape of the observer's own trajectory) of the SAW-Bench multiple-choice questions about 786 egocentric videos recorded with Ray-Ban Meta (Gen 2) smart glasses (no audio); zero-shot; 2 frames per second where the model supports it (32 frames, or 8 for InternVL3 38B and InternVL2 40B, otherwise); answers parsed by regular expression, else by GPT-4o-mini; higher is better. Source: arxiv.org. Saturation forecast: Around 2028. 23 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro66.12#145
2Gemini 3 Flash (Preview)64.84#78
3Gemini 2.5 Flash57.33#237
4Qwen 3 VL 235B A22B (Thinking)53.11#228 (Qwen 3 VL 235B A22B)
5Gemini 3 Pro (Preview) (Low)52.01#64 (Gemini 3 Pro (Preview))
6GPT-5.2 (Medium)50.55#105 (GPT-5.2)
7Qwen 3 VL 32B (Thinking)48.35#287 (Qwen 3 VL 32B)
8Qwen 3 VL 8B (Thinking)46.7
9InternVL3-14B45.05#494
10Qwen 2.5 VL 7B Instruct43.59#643
11Qwen 3 VL 30B A3B (Thinking)43.04#338 (Qwen 3 VL 30B A3B)
12InternVL2-8B41.94#826
13Qwen 2.5 VL 72B Instruct41.76#364
14Qwen 2.5 VL 32B Instruct41.03#443
15InternVL3-38B37.55#395

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=saw-bench-route-shape · How It Works · Data refreshed daily, snapshot 2026-10-11.