Alibaba

QVQ Max — Benchmark Scores, Pricing & Performance Analysis

MID
Input Cost
$1.2/1M
Output Cost
$4.8/1M
Context Window
131K
Max Output
8K
Knowledge Cutoff
Apr 2024
Accepts
text, image

QVQ Max is an AI model by Alibaba. View detailed benchmark scores, pricing data, and performance metrics on Serenities AI Models.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

Cost Benchmarks

Input Cost
$1.2304th of 413

Cost per 1M input tokens

OpenRouter API
Output Cost
$4.8307th of 413

Cost per 1M output tokens

OpenRouter API

Context Benchmarks

Context Length
131K212th of 451

Maximum context window size

OpenRouter API

Available from 2 providers

The same model costs different amounts depending on who serves it. You can bring your own key for 1 of these — connect it here.

ProviderInput / 1MOutput / 1MCached inContextYour key
Alibaba (China)$1.147$4.588131K
Alibaba$1.2$4.8131KSupported

QVQ Max — Frequently Asked Questions

How much does QVQ Max cost?

QVQ Max costs $1.2 per 1M input tokens and $4.8 per 1M output tokens. This is mid-range pricing for its capability level.

What is the context window of QVQ Max?

QVQ Max has a context window of 131K tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created QVQ Max?

QVQ Max was created by Alibaba. It is classified as a mid model in our catalogue.

Is QVQ Max open source?

No, QVQ Max is a proprietary model. It is available through Alibaba's API and compatible providers.