Benchmark profile

ChatCVQA

A conversational visual QA benchmark that tests multi-turn grounded answering over images and documents.

Data verified July 23, 2026

How BenchLM shows ChatCVQA right now

BenchLM is tracking ChatCVQA in the local dataset, but exact-source verification records for these rows are still being attached. To avoid a blank benchmark page, BenchLM shows the current tracked rows below as a display-only reference table.

These tracked rows are useful for inspection and spot-checking, but until exact-source attachments are completed they should not be treated as fully verified public benchmark rows.

6 tracked modelsLocal tracked rowsAwaiting exact-source attachmentsDisplay only

Qwen3.6 launch benchmarks

Tracked score on ChatCVQA — July 23, 2026

BenchLM mirrors the published tracked score view for ChatCVQA. GPT-5.2 leads the public snapshot at 82.1% , followed by Qwen3.6 Plus (81.5%) and Gemini 3 Pro (81.4%). BenchLM does not use these results to rank models overall.

GPT-5.2

OpenAI

gpt-5-2

82.1%

Overall —

Qwen3.6 Plus

Alibaba

qwen3-6-plus

81.5%

Overall —

Gemini 3 Pro

Google

gemini-3-pro

81.4%

Overall —

6 modelsMultimodal & GroundedCurrentDisplay onlyUpdated July 23, 2026

Tracked score table (6 models)

Score

GPT-5.2OpenAI

82.1%

Qwen3.6 PlusAlibaba

81.5%

Gemini 3 ProGoogle

81.4%

Qwen3.5 397BAlibaba

80.8%

Kimi K2.5Moonshot AI

77.5%

Claude Opus 4.5Anthropic

68.5%

The published ChatCVQA snapshot places GPT-5.2 first at 82.1%. The third row is 0.7 points behind. The broader top-10 range is 13.6 points, so the table still separates the published systems.

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.

About ChatCVQA

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 benchmarks Public benchmark source

BenchLM freshness & provenance

Version

ChatCVQA 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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.

FAQ

What does ChatCVQA measure?

A conversational visual QA benchmark that tests multi-turn grounded answering over images and documents.

Which model leads the published ChatCVQA snapshot?

GPT-5.2 currently leads the published ChatCVQA snapshot with 82.1% tracked score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on ChatCVQA?

6 AI models are included in BenchLM's mirrored ChatCVQA snapshot, based on the public leaderboard captured on July 23, 2026.

Last updated: July 23, 2026 · mirrored from the public benchmark leaderboard

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