Qwen3 235B A22B Instruct 2507
Qwen3 235B A22B Instruct 2507 is a reasoning model from Qwen released on Apr 28, 2025. It reads text and writes text, with a 262K token context window and up to 16K tokens per reply.
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It costs $0.22 per million input tokens and $0.88 per million output tokens.
It supports tool calling.
- Modalities
- In / out price
- $0.22 / $0.88 per 1M
- Context
- 262K
- Max output
- 16K
- Released
- Apr 28, 2025
- Knowledge cutoff
- Apr 2025
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Qwen3 235B A22B Instruct 2507 pricing
USD, as listed on Oct 19, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.22 / 1M tokens | |
|---|---|---|
| Output | $0.88 / 1M tokens |
What Qwen3 235B A22B Instruct 2507 costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call Qwen3 235B A22B Instruct 2507 through an OpenAI compatible API.
- Tools
tools - Reasoning
reasoning - Temperature
temperature
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Qwen3 235B A22B Instruct 2507 questions
How much does the Qwen3 235B A22B Instruct 2507 API cost?
$0.22 per million input tokens and $0.88 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 235B A22B Instruct 2507?
262,144 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 235B A22B Instruct 2507 support tool calling?
Yes. It accepts tool definitions, which is what an agent needs to call your APIs.
Is Qwen3 235B A22B Instruct 2507 open source?
No. Qwen serves it through an API only, so you cannot download the weights or host it yourself.
When was Qwen3 235B A22B Instruct 2507 released?
Apr 28, 2025, with training data up to Apr 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 19, 2026. The summary is written from these facts.