Qwen3-VL 235B

byQwen

Qwen3-VL 235B is a language model from Qwen released on Nov 1, 2024. It reads text and images and writes text, with a 218K token context window and up to 16K tokens per reply.

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It costs $1.76 per million input tokens and $2.05 per million output tokens.

It supports tool calling, and its weights are open, so you can host it yourself.

Modalities
In / out price
$1.76 / $2.05 per 1M
Context
218K
Max output
16K
Released
Nov 1, 2024
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Qwen3-VL 235B pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$1.76 / 1M tokens
Output$2.05 / 1M tokens

What Qwen3-VL 235B costs per month

Pick a workload close to yours or type your own volumes.

Qwen3-VL 235B per month
$154
Without caching
$154
Per request
$0.0051

Supported request parameters

What you can set when you call Qwen3-VL 235B through an OpenAI compatible API.

  • Toolstools
  • Temperaturetemperature

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Qwen3-VL 235B questions

How much does the Qwen3-VL 235B API cost?

$1.76 per million input tokens and $2.05 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of Qwen3-VL 235B?

218,000 tokens of input, and it can write up to 16,384 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Does Qwen3-VL 235B support tool calling?

Yes. It accepts tool definitions, which is what an agent needs to call your APIs.

Is Qwen3-VL 235B open source?

Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.

When was Qwen3-VL 235B released?

Nov 1, 2024.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.

Building on Qwen3-VL 235B?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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