A conversational visual QA benchmark that tests multi-turn grounded answering over images and documents.
As of March 2026, GPT-5.2 leads the ChatCVQA leaderboard with 82.1% , followed by Qwen3.6 Plus (81.5%) and Gemini 3 Pro (81.4%).
GPT-5.2
OpenAI
Qwen3.6 Plus
Alibaba
Gemini 3 Pro
According to BenchLM.ai, GPT-5.2 leads the ChatCVQA benchmark with a score of 82.1%, followed by Qwen3.6 Plus (81.5%) and Gemini 3 Pro (81.4%). The top models are clustered within 0.7 points, suggesting this benchmark is nearing saturation for frontier models.
6 models have been evaluated on ChatCVQA. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. ChatCVQA is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Conversational visual QA
Format
Multi-turn image-grounded QA
Difficulty
Conversational multimodal reasoning
ChatCVQA matters because many multimodal products are conversational rather than single-turn. It evaluates whether a model can sustain grounded image understanding across follow-up questions.
Qwen3.6 launch benchmarksVersion
ChatCVQA 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A conversational visual QA benchmark that tests multi-turn grounded answering over images and documents.
GPT-5.2 by OpenAI currently leads with a score of 82.1% on ChatCVQA.
6 AI models have been evaluated on ChatCVQA on BenchLM.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.