Qwen: Qwen3 235B A22B
Analysis Summary
Qwen3 235B A22B is a large Qwen model with a 131,072-token context window and listed tool use and function calling. The supplied record includes an intelligence index but no separate coding, agentic, instruction-following, or long-context benchmark results, so its practical advantage over smaller variants cannot be confirmed from this data. Input is text-only.
It could support code assistance, structured SEO workflows, long brief analysis, and tool-connected tasks where the implementation includes validation and clear boundaries. The absence of detailed technical evidence makes it unsuitable as an automatic choice for autonomous engineering or high-stakes client reasoning. Teams should test latency, reliability, and output quality on representative workloads before committing.
Pricing of $0.455 per million input tokens and $1.82 per million output tokens is reasonable for a larger model but less compelling than the Qwen3 32B listing. Treat it as a pilot candidate rather than a default production model.
Assessed August 9, 2026
Editorial notes
Qwen3 235B A22B offers a large 131K context with tool use and function calling, making it relevant to technical workflows; its available reasoning evidence is limited and does not establish flagship-level reliability.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 235B A22B offers a large 131K context with tool use and function calling, making it relevant to technical workflows; its available reasoning evidence is limited and does not establish flagship-level reliability.
How Qwen: Qwen3 235B A22B compares
Qwen: Qwen3 235B A22B ranks #238 of 432 AI models we track for overall intelligence. Its 131K-token context window is larger than 49% of the models we list. At $0.46 per million input tokens it is cheaper than 39% 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 | $0.46 | $0.000455 |
| Output | $1.82 | $0.001820 |
What would Qwen: Qwen3 235B A22B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 235B A22B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 235B A22B
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and..
Frequently asked questions about Qwen: Qwen3 235B A22B
How much does Qwen: Qwen3 235B A22B cost?
Qwen: Qwen3 235B A22B costs $0.46 per million input tokens and $1.82 per million output tokens.
What is the context window of Qwen: Qwen3 235B A22B?
Qwen: Qwen3 235B A22B has a context window of 131,072 tokens (131K).
What can Qwen: Qwen3 235B A22B do?
Qwen: Qwen3 235B A22B supports tool use and function calling.
Who created Qwen: Qwen3 235B A22B?
Qwen: Qwen3 235B A22B is developed by Qwen and was released on April 28, 2025.