FlagEval VQA - Multi-Image Analysis: leaderboard

BAAI FlagEval’s multimodal VQA leaderboard, Multi-Image Analysis slice: questions answerable only by comparing several images.

Metric: Score. Source: flageval.baai.ac.cn. Saturation forecast: Around November 2026. 24 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5 (High)62.5#98 (GPT-5)
2O3 Mini (Low)61.7#272 (O3 Mini)
3O3 Mini (High)60#272 (O3 Mini)
4GPT-5 (Low)58.3#98 (GPT-5)
5GPT-4.157.5#248
6Gemini 2.5 Pro51.7#152
7O4 Mini (High)51.7#180 (O4 Mini)
8Gemini 2.5 Flash (Non-reasoning)46.7#245 (Gemini 2.5 Flash)
9GLM-4.5V45#346
10Gemini 2.5 Flash (Thinking)44.2#245 (Gemini 2.5 Flash)
11O4 Mini (Low)43.3#180 (O4 Mini)
12Step-342.5#365
13ERNIE-4.5-VL-424B-A47B36.7#391
14Claude Sonnet 4 (Thinking)33.3#199 (Claude Sonnet 4)
15Claude Sonnet 4 (Non-reasoning)29.2#199 (Claude Sonnet 4)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=flageval-vqa-multi-image-analysis · How It Works · Data refreshed daily, snapshot 2026-10-20.