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ChatCVQA

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

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

Tracked score on ChatCVQA — April 10, 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.

6 modelsMultimodal & GroundedCurrentDisplay onlyUpdated April 10, 2026

The published ChatCVQA snapshot is tightly clustered at the top: GPT-5.2 sits at 82.1%, while the third row is only 0.7 points behind. The broader top-10 spread is 13.6 points, so the benchmark still separates strong models even when the leaders cluster.

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.

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.

Tracked score table (6 models)

1
GPT-5.2gpt-5-2
82.1%
2
Qwen3.6 Plusqwen3-6-plus
81.5%
3
Gemini 3 Progemini-3-pro
81.4%
4
Qwen3.5 397Bqwen3-5-397b
80.8%
5
Kimi K2.5kimi-k2-5
77.5%
6
Claude Opus 4.5claude-opus-4-5
68.5%

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 a tracked score of 82.1%. 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 April 10, 2026.

Last updated: April 10, 2026 · mirrored from the public benchmark leaderboard

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