Benchmark Almanac

ChemicalDiagramQA

Models answer questions about chemical structure diagrams in scientific figures. Scored by accuracy.

This is an in-house evaluation, and Google never released the questions.

Made by
Gemini Team, Google
Released
June 2024
Kind
Documents, charts and text in images
Level
University
Scored
Checked automatically
Answers
Multiple choice
Tasks
Kept private
Strongest model tested
Gemini 1.5 Pro May 2024 #173 on the capability index
Last in a launch post
May 2024, dropped before it saturated
Last model added
May 2024
1
Model scored in lab cards
1
Launch post lists it, from 1 lab

Gemini 1.5 Pro leads with 69.7%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Gemini 1.5 Pro May 2024 69.7%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Gemini 1.5 Pro May 2024 69.7% May 2024 Lab model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2024 Near the ceiling (85%) Gemini 1.5 Pro 0% 20% 40% 60% 80% 100% 2024 Near the ceiling (85%) Gemini 1.5 Pro

Source: Labs’ model cards

No launch post has listed it since May 2024

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Google DeepMind
DateLaunch postScoreAs the post writes it
May 14, 2024 Gemini 1.5 Pro 69.7 ChemicalDiagramQA (internal), 0-shot

More in Vision

All 281 in Vision
  • MMMU In use 11.5K college-level multimodal questions across 30 subjects. Multiple-choice and open accuracy. GPT-5.1 85.4%
  • MMMU-Pro In use Harder MMMU: college-level multimodal questions with more options and vision-only inputs to remove text shortcuts. GPT-5.6 Sol 84.6%
  • CharXiv In use Chart understanding on real arXiv figures. Reasoning questions require synthesizing information from complex charts. Claude Fable 5 93.5%
  • MATH-Vision (MathVision) In use 3,040 competition math problems with visual context. Answer accuracy. Qwen 3.8 Max 97.7%
  • MMStar In use Models answer 1,500 human-curated image questions that cannot be solved without the image, across 6 core capabilities. Scored by accuracy. Qwen 3.8 Max 85.9%
  • ChartQA In use Models answer human-written and generated questions about chart images that need visual and arithmetic reasoning. Scored by relaxed accuracy with a 5 percent numeric tolerance. Command A Vision 90.9%