FlagEval VQA - Long-tail Recognition: leaderboard

BAAI FlagEval’s multimodal VQA leaderboard, Long-tail Recognition slice: recognising rare subjects rather than the usual object classes.

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

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro59.1#152
2GPT-4.154.2#248
3GPT-5 (Low)52.3#98 (GPT-5)
4O3 Mini (Low)52.3#272 (O3 Mini)
5GPT-5 (High)48.9#98 (GPT-5)
6O3 Mini (High)48.5#272 (O3 Mini)
7Gemini 2.5 Flash (Thinking)45.8#245 (Gemini 2.5 Flash)
8O4 Mini (Low)40.2#180 (O4 Mini)
9Gemini 2.5 Flash (Non-reasoning)39.4#245 (Gemini 2.5 Flash)
10O4 Mini (High)39.4#180 (O4 Mini)
11Step-335#365
12ERNIE-4.5-VL-424B-A47B31.1#391
13Claude Sonnet 4 (Thinking)22.7#199 (Claude Sonnet 4)
14GLM-4.5V18.2#346
15Claude Sonnet 4 (Non-reasoning)17#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-long-tail-recognition · How It Works · Data refreshed daily, snapshot 2026-10-20.