How much does Qwen3 VL 235B A22B Instruct cost?

Qwen3 VL 235B A22B Instruct costs $0.21 per million input tokens and $1.90 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $14.

What is the context length of Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct accepts up to 262,144 tokens (262K) of input and can return up to 32,768 tokens in one response.

Does Qwen3 VL 235B A22B Instruct support tool calling and structured outputs?

Yes, Qwen3 VL 235B A22B Instruct supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Log probabilities, Deterministic seed, Prompt caching.

What inputs and outputs does Qwen3 VL 235B A22B Instruct support?

Qwen3 VL 235B A22B Instruct accepts Text, Image as input and produces Text as output.

When was Qwen3 VL 235B A22B Instruct released?

Qwen3 VL 235B A22B Instruct was released by Qwen in 2025-09-23.

Qwen3 VL 235B A22B Instruct

qwen3-vl-235b-a22b-instruct

API Provider site

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table... Built by Qwen.

Prices updated recently

Input price

$0.21

per 1M tokens · Standard

Output price

$1.90

per 1M tokens · Standard

Input limit

262K

tokens

Output limit

33K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Qwen3 VL 235B A22B Instruct price history

2 price records since 9/25/2026

Qwen3 VL 235B A22B Instruct cost calculator

Input20M tokens

Output5M tokens

$14/month

Standard pricing

Overview

What is Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct is a text & reasoning and vision model from Qwen. Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table... Its 262K context window and $0.21 input price make it a candidate for cost-sensitive, high-throughput applications.

Image understandingDocument analysisContent workflowsClassification

Benchmarks

Qwen3 VL 235B A22B Instruct benchmarks & speed

How Qwen3 VL 235B A22B Instruct scores on standardized evaluations, and where it lands among every model we track.

9.9

Intelligence Index

Better than 26% of 153 models

53tok/s

Output speed

Better than 14% of 119 models

Reasoning

GPQA Diamond

71.2%

Graduate-level scientific reasoning · top 69%

HLE

6.6%

Humanity's Last Exam · top 73%

Latency & design

Time to first token: 2.75s

Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.

Rates

Qwen3 VL 235B A22B Instruct pricing

Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

Input · Standard

$0.21

Per 1M tokens

Cached input · Standard

$0.10

Per 1M tokens

Capabilities

Qwen3 VL 235B A22B Instruct Tools

Tools available when using Qwen3 VL 235B A22B Instruct through supported provider APIs.

Function calling

Supported

Structured outputs

Supported

JSON mode

Supported

Reasoning

Not supported

Built-in web search

Not supported

Log probabilities

Supported

Deterministic seed

Supported

Parallel tool calls

Not supported

Prompt caching

Supported

Strengths and limitations

Strengths

Low input cost at $0.21 per million tokens suits high-volume workloads.
262K context supports large documents, repositories and extended conversations.
Supports text & reasoning and vision workloads in one model.

Limitations

Generated tokens cost 9× more than input tokens, which matters for verbose responses.
Large context capacity does not guarantee consistent retrieval across the entire prompt.
Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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