Qwen3 235B A22B Thinking 2507 TEEWork with me

Qwen3 235B A22B Thinking 2507 TEE

byQwen

Qwen3 235B A22B Thinking 2507 TEE is a reasoning model from Qwen released on Jul 1, 2025. It reads text and writes text, with a 262K token context window and up to 262K tokens per reply.

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It costs $0.2989 per million input tokens and $1.20 per million output tokens. Cached input bills at $0.0299, 90% less than fresh input.

It supports tool calling, structured JSON output and prompt caching, and its weights are open, so you can host it yourself.

Modalities
In / out price
$0.2989 / $1.20 per 1M
Context
262K
Max output
262K
Released
Jul 1, 2025
Knowledge cutoff
Apr 2025
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Qwen3 235B A22B Thinking 2507 TEE 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$0.2989 / 1M tokens
Output$1.20 / 1M tokens
Cached input (read)$0.0299 / 1M tokens

What Qwen3 235B A22B Thinking 2507 TEE costs per month

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

Qwen3 235B A22B Thinking 2507 TEE per month
$22.87
Without caching
$34.97
Per request
$0.0008

Supported request parameters

What you can set when you call Qwen3 235B A22B Thinking 2507 TEE through an OpenAI compatible API.

  • Toolstools
  • Structured outputsstructured_outputs
  • Reasoningreasoning
  • Temperaturetemperature

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Qwen3 235B A22B Thinking 2507 TEE questions

How much does the Qwen3 235B A22B Thinking 2507 TEE API cost?

$0.2989 per million input tokens and $1.20 per million output tokens, with cached input at $0.0299. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of Qwen3 235B A22B Thinking 2507 TEE?

262,144 tokens of input, and it can write up to 262,144 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Does Qwen3 235B A22B Thinking 2507 TEE support tool calling?

Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.

Is Qwen3 235B A22B Thinking 2507 TEE 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 235B A22B Thinking 2507 TEE released?

Jul 1, 2025, with training data up to Apr 2025.

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

Building on Qwen3 235B A22B Thinking 2507 TEE?

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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