Qwen: Qwen3 VL 32B Instruct

qwen/qwen3-vl-32b-instruct

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...

Modalities

In / out price

$0.1 / $0.42 per 1M

Context

131K

Released

Oct 23, 2025

Why use Qwen3 VL 32B Instruct

Understands images
Tool and function calling (agent-ready)
Structured (JSON) outputs

Pricing

Input	$0.1 / 1M tokens
Output	$0.42 / 1M tokens

List prices via OpenRouter, checked daily. Real cost depends on the provider and on reasoning tokens.

Cost calculator

Pick a task, set how often you run it, and compare what it costs on each model.

TaskInput tokens≈ 602 wordsOutput tokens≈ 1,504 wordsRuns per month

Input served from cache: 0%Repeated prompts (same instructions or document) are billed at the cheaper cache-read price where the model supports it.

Model	Per run	Per month	Per 1,000 runs
Qwen: Qwen3 VL 32B Instruct	$0.0009	$0.915	$0.915

Estimates from list prices via OpenRouter; real bills vary by provider and reasoning tokens.

Will it fit? Context window simulator

Each square is about one page (500 words). Colored squares are your content; grey squares are free space in the model's context window.

Your content

Novel (90,000 words)

Total: about 120,000 tokens (≈ 90,226 words). Token counts are estimates.

Models

Zoom (square size): 6pxZoom out to see a whole million-token window at once.