Qwen: Qwen3.5-35B-A3B
Analysis Summary
Qwen3.5-35B-A3B is a multimodal model with text, image, and video input, vision, a 262K context window, and support for tools and function calling. Its measured coding capability is a relative strength, while its reasoning and agentic results are lower. Listed input and output rates of $0.3125 and $1.25 make it accessible for task-specific use.
This profile suits coding assistance, content processing, and other bounded tasks where multimodal input or cost matters. The agentic result does not support relying on it as a primary model for complex autonomous workflows. Teams should use human review or a stronger model for high-stakes reasoning and final client-facing decisions. It is a practical candidate for volume-oriented pilots, provided the work is scoped and tested against clear acceptance criteria.
Assessed September 23, 2026
Editorial notes
Qwen3.5-35B-A3B combines vision and video input, a 262K context window, and measured coding capability with low listed rates. Its reasoning and agentic results make it a better fit for bounded tasks than complex autonomous work.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Qwen3.5-35B-A3B combines vision and video input, a 262K context window, and measured coding capability with low listed rates. Its reasoning and agentic results make it a better fit for bounded tasks than complex autonomous work.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
How Qwen: Qwen3.5-35B-A3B compares
Qwen: Qwen3.5-35B-A3B ranks #132 of 435 AI models we track for overall intelligence, #88 of 198 for coding, #93 of 181 for agentic tasks. Its 262K-token context window is larger than 75% of the models we list. At $0.15 per million input tokens it is cheaper than 57% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $1.00 | $0.001000 |
What would Qwen: Qwen3.5-35B-A3B 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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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 $0.15 per million input tokens and $1.00 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 #88 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.