Pointing-at-things eval: Gemini 4 Argon leads, Mistral Large 4's SOTA vision claim falls flat

pbaylies · x · 2026-10-15

A developer benchmark on everyday-photo pointing with scene understanding (not plain object description) yields surprises: Gemini 4 Argon scores 71.8 (10s) but isn't dominant; Mistral Large 4, marketed as SOTA vision, manages only 50.8 at 161s; Claude Haiku 5.5 (62.9) vastly outperforms Sonnet 5.5 (37.2), which suffers from false positives. Moondream 3.1 posts 59.4 at ultra-low cost; GPT-5.6 Terra bottoms out at 5.2.

Original post →

More from Models

Models channel →