Qwen: Qwen3.5-35B-A3B
Analysis Summary
Qwen3.5-35B-A3B is a compact Qwen model aimed at practical multimodal and coding workloads. It supports text, image, and video input, tool use, function calling, and a 262K context window. Its coding capability is stronger than its general reasoning profile, making it more useful for structured technical tasks than difficult open-ended analysis.
For agency workflows, the model fits code assistance, document extraction, visual content review, SEO operations, and API-driven automation. The low input and output pricing supports repeated calls, while the long context is useful for specifications and large content briefs. Its low agentic capability makes it less suitable for autonomous multi-step execution without close orchestration. Adopt it as a cost-conscious multimodal workhorse for bounded tasks.
Assessed August 9, 2026
Editorial notes
Qwen3.5-35B-A3B combines strong coding, vision, video input, tool use, and a 262K context window with low pricing. Its agentic performance and general reasoning are less advanced than its implementation capabilities.
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DFO Verdict
Qwen3.5-35B-A3B combines strong coding, vision, video input, tool use, and a 262K context window with low pricing. Its agentic performance and general reasoning are less advanced than its implementation capabilities.
How Qwen: Qwen3.5-35B-A3B compares
Qwen: Qwen3.5-35B-A3B ranks #124 of 425 AI models we track for overall intelligence, #96 of 198 for coding, #111 of 180 for agentic tasks. Its 262K-token context window is larger than 73% of the models we list. At $0.23 per million input tokens it is cheaper than 52% 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 | $0.000225 |
| Output | $1.80 | $0.001800 |
What would Qwen: Qwen3.5-35B-A3B 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 701 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.5-35B-A3B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.5-35B-A3B
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall..
Frequently asked questions about Qwen: Qwen3.5-35B-A3B
How much does Qwen: Qwen3.5-35B-A3B cost?
Qwen: Qwen3.5-35B-A3B costs $0.23 per million input tokens and $1.80 per million output tokens.
What is the context window of Qwen: Qwen3.5-35B-A3B?
Qwen: Qwen3.5-35B-A3B has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3.5-35B-A3B good for coding?
On our coding benchmark index, Qwen: Qwen3.5-35B-A3B ranks #96 of 198 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3.5-35B-A3B do?
Qwen: Qwen3.5-35B-A3B supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.5-35B-A3B?
Qwen: Qwen3.5-35B-A3B is developed by Qwen and was released on February 25, 2026.