ReactBench (Reaction Diagrams) - Localization: leaderboard

Metric: Answer accuracy (%) on the spatial element localization questions (identify source, sink and intermediate nodes from topological position), over the 1,618 expert-annotated question-answer pairs on more than 1,300 real chemical reaction diagrams from chemistry journals and patents of ReactBench (single-line, multi-line, tree and graph topologies), multiple-choice or short open answers matched exactly against the key after template extraction, no LLM judge; higher is better. Source: arxiv.org. Saturation forecast: Around September 2028. 24 models tracked.

Top models

#ModelScore
1Qwen 3 VL 32B (Thinking)63.59
2Qwen 3 VL 32B Instruct60.24
3Gemini 3.1 Pro (Preview)59.16
4Claude Sonnet 4.655.69
5GPT-5.555.21
6Qwen 3 VL 8B Instruct52.34
7Claude 3.5 Sonnet50.78
8Qwen 3 VL 8B (Thinking)49.22
9Gemini 1.5 Pro45.75
10GPT-4o44.07
11InternVL2.5-78B41.08
12Qwen 2.5 VL 7B37.96

Interactive version: theaggregate.ai/benchmark?slug=reactbench-reaction-diagrams-localization · How It Works · Data refreshed daily, snapshot 2026-10-07.