PhyX-AF - Analytic Plane Geometry (Image): leaderboard

Multimodal autoformalization into Lean 4 (PhyX-AF; Xiong et al., 2026): 5 analytic plane-geometry problems whose diagram is given as an image and is needed to state the problem. The model runs as the backbone of the MMFormalizer recursive-grounding framework, and two expert annotators judge whether the resulting formal statement is valid; accuracy in percent, higher is better.

Metric: Human-verified autoformalization accuracy (%; 5 analytic plane-geometry problems (Geometry3K, GeoInt and generated figures) with the diagram as image input, Lean 4 output judged valid by two expert annotators). Source: arxiv.org. Saturation forecast: Around February 2027. 5 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro60#135
2Gemini 2.5 Pro20#262
3GPT-520#163
4Qwen 2.5 VL 72B Instruct0#845
5Qwen 3 VL 235B A22B Instruct0#521

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=phyx-af-analytic-plane-geometry-image · How It Works · Data refreshed daily, snapshot 2026-11-12.