Analysis Summary
Qwen3.6 35B A3B is Alibaba's non-reasoning mixture-of-experts model, with strong general knowledge, long-context handling, and tool-interaction results. Coding performance is more limited than its broad knowledge profile, and the non-reasoning configuration is not designed for the hardest analytical tasks.
It fits structured automation, document workflows, tool-enabled applications, and cost-sensitive content or SEO production. The $0.375 per million input token and $2.25 output pricing is reasonable for selective production use, especially when long context matters. Avoid relying on it for advanced software engineering or difficult autonomous planning without validation. It is a useful workflow model, but not a default choice for high-stakes reasoning.
Assessed September 7, 2026
Editorial notes
Qwen3.6 35B A3B combines strong general knowledge, long-context performance, coding, and tool interaction with efficient pricing. Its non-reasoning configuration and uneven coding result make it better for structured automation than complex reasoning.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.6 35B A3B combines strong general knowledge, long-context performance, coding, and tool interaction with efficient pricing. Its non-reasoning configuration and uneven coding result make it better for structured automation than complex reasoning.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
15.2 Intelligence Index·28.1 Coding Index·19.2 Agentic Index
How Qwen3.6 35B A3B (Non-reasoning) compares
Qwen3.6 35B A3B (Non-reasoning) ranks #168 of 438 AI models we track for overall intelligence, #123 of 210 for coding, #90 of 192 for agentic tasks. At $0.38 per million input tokens it is cheaper than 42% 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 | $0.38 | $0.000375 |
| Output | $2.25 | $0.002250 |
What would Qwen3.6 35B A3B (Non-reasoning) 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 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen3.6 35B A3B (Non-reasoning) for the hard ones. Most clients cut their estimate by 60-80%.
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Frequently asked questions about Qwen3.6 35B A3B (Non-reasoning)
How much does Qwen3.6 35B A3B (Non-reasoning) cost?
Qwen3.6 35B A3B (Non-reasoning) costs $0.38 per million input tokens and $2.25 per million output tokens.
Is Qwen3.6 35B A3B (Non-reasoning) good for coding?
On our coding benchmark index, Qwen3.6 35B A3B (Non-reasoning) ranks #123 of 210 models, placing it in the broader range of the field for code generation and debugging.
Who created Qwen3.6 35B A3B (Non-reasoning)?
Qwen3.6 35B A3B (Non-reasoning) is developed by Alibaba and was released on April 16, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 18, 2026 8:38 pm