ChartFI - Informativeness: leaderboard

Metric: Informativeness (0-1): mean semantic-level weight of the generated insights, weighting higher-level perceptual and domain insights more, with weights adapted to the reference description, descriptions of the 896 ChartFI-Bench scientific charts (arXiv papers accepted at peer-reviewed venues), temperature 0 and top-p 1; higher is better. Source: arxiv.org. Saturation forecast: Around 2036. 7 models tracked.

Top models

#ModelScore
1GPT-5.40.32
2Llama 4 Scout0.31
3Claude Sonnet 4.60.3
4Qwen 3.5 Plus0.29
5Gemini 3 Flash0.28
6Qwen 3.5 27B0.27

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