Qwen: Qwen3 235B A22B Thinking 2507
Analysis Summary
Qwen3 235B A22B Thinking is a large mixture-of-experts model from Alibaba positioned for reasoning-heavy tasks, with tool use, function calling and a 262K token context window suited to long documents or extended agent sessions.
No independent benchmark scores are attached to this listing, so its actual reasoning depth and coding accuracy relative to peers can't be confirmed, which is a meaningful gap for businesses evaluating it against verified alternatives.
Worth piloting for long-context internal tasks, but procurement decisions should be backed by direct testing rather than assumed capability.
Assessed July 25, 2026
Editorial notes
Qwen3 235B A22B Thinking pairs tool use and function calling with a large 262K context window, but lacks published benchmark data confirming its reasoning quality.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 235B A22B Thinking pairs tool use and function calling with a large 262K context window, but lacks published benchmark data confirming its reasoning quality.
How Qwen: Qwen3 235B A22B Thinking 2507 compares
Its 262K-token context window is larger than 75% of the models we list. At $0.23 per million input tokens it is cheaper than 51% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.23 | $0.000230 |
| Output | $2.30 | $0.002300 |
What would Qwen: Qwen3 235B A22B Thinking 2507 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 653 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 235B A22B Thinking 2507 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144..
Frequently asked questions about Qwen: Qwen3 235B A22B Thinking 2507
How much does Qwen: Qwen3 235B A22B Thinking 2507 cost?
Qwen: Qwen3 235B A22B Thinking 2507 costs $0.23 per million input tokens and $2.30 per million output tokens.
What is the context window of Qwen: Qwen3 235B A22B Thinking 2507?
Qwen: Qwen3 235B A22B Thinking 2507 has a context window of 262,144 tokens (262K).
What can Qwen: Qwen3 235B A22B Thinking 2507 do?
Qwen: Qwen3 235B A22B Thinking 2507 supports tool use and function calling.
Who created Qwen: Qwen3 235B A22B Thinking 2507?
Qwen: Qwen3 235B A22B Thinking 2507 is developed by Qwen and was released on July 25, 2025.
