// COMPARISON

QVQ

A head-to-head benchmark comparison of QVQ across 2 evaluations.

The models

Language Open (Restricted)
Params
72B
Context
β€”
Released
Dec 2024

QVQ - an open-weight model for multimodal reasoning, built upon Qwen2-VL-72B. QVQ represents a significant leap forward in AI’s capacity for visual understandin.

Full QVQ specs β†’

Benchmark comparison

Benchmark QVQ
multimodal
MMMU 70.3%
MathVista 71.4%

Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.

Frequently asked questions

How many benchmarks are compared? β–Ά

This comparison covers 2 benchmarks on which at least one of the selected models has a published score.

Where do the benchmark scores come from? β–Ά

Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.

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