Qwen: Qwen3 235B A22B
Analysis Summary
Qwen3 235B A22B is a large mixture-of-experts model designed for higher-capacity general and technical work. It supports a 131K context window, tool use, and function calling, which are useful foundations for document-heavy workflows and structured integrations.
The available data does not establish a broad advantage over better-tested models, and there are no supplied coding, agentic, or instruction-following measurements beyond its general intelligence result. That makes deployment decisions less certain, especially for autonomous workflows where consistency matters. Its text-only modality also limits visual content operations.
Pricing is substantially higher than smaller Qwen3 options. Consider it for experiments requiring long context and tool integration, but validate it carefully before assigning client-critical work.
Assessed September 7, 2026
Editorial notes
Qwen3 235B A22B provides a large 131K context window, function calling, and stronger capacity than smaller Qwen3 variants. Its high output price and limited measured coverage make it difficult to position as a default client model.
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DFO Verdict
Qwen3 235B A22B provides a large 131K context window, function calling, and stronger capacity than smaller Qwen3 variants. Its high output price and limited measured coverage make it difficult to position as a default client model.
How Qwen: Qwen3 235B A22B compares
Qwen: Qwen3 235B A22B ranks #255 of 435 AI models we track for overall intelligence. Its 131K-token context window is larger than 48% of the models we list. At $0.46 per million input tokens it is cheaper than 40% 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.
Full calculator with 756 models → Price Calculator
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.