Qwen3.6 27B (Non-reasoning)
Analysis Summary
Qwen3.6 27B Non-reasoning is a text model with a low measured intelligence result but a much stronger coding result. Its agentic capability is moderate rather than leading. The provided entry does not list a context window, vision, or tool and function calling, so those capabilities should not be assumed. At $0.60 per million input tokens and $3.60 per million output tokens, its cost is moderate among the entries in this batch.
Its profile suggests a specialist role in coding assistance, such as drafting or reviewing routine code, with a separate validation process for correctness. The gap between coding and general reasoning results makes it less appropriate for broad strategy, complex analysis, or workflows requiring substantial autonomous reasoning. Business teams should assess code quality on their own stack before expanding its use.
Consider it for bounded development tasks where cost matters and a developer remains in the loop. Choose a stronger general model for work that mixes software engineering with complex planning or client-facing explanation.
Assessed September 23, 2026
Editorial notes
Qwen3.6 27B Non-reasoning combines a strong coding result with moderate agentic capability and a low overall intelligence result; listed pricing is $0.60 per million input tokens and $3.60 per million output tokens.
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
Qwen3.6 27B Non-reasoning combines a strong coding result with moderate agentic capability and a low overall intelligence result; listed pricing is $0.60 per million input tokens and $3.60 per million output tokens.
Benchmarks
Artificial Analysis data refreshed Oct 23, 2026. Arena ratings from the Oct 20, 2026 text leaderboard, with style control.
How Qwen3.6 27B (Non-reasoning) compares
Qwen3.6 27B (Non-reasoning) ranks #142 of 443 AI models we track for overall intelligence, #70 of 198 for coding, #61 of 181 for agentic tasks. At $0.60 per million input tokens it is cheaper than 32% 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 | $0.60 | $0.000600 |
| Output | $3.60 | $0.003600 |
What would Qwen3.6 27B (Non-reasoning) 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 teamFrequently asked questions about Qwen3.6 27B (Non-reasoning)
How much does Qwen3.6 27B (Non-reasoning) cost?
Qwen3.6 27B (Non-reasoning) costs $0.60 per million input tokens and $3.60 per million output tokens.
Is Qwen3.6 27B (Non-reasoning) good for coding?
On our coding benchmark index, Qwen3.6 27B (Non-reasoning) ranks #70 of 198 models, placing it in the broader range of the field for code generation and debugging.
Who created Qwen3.6 27B (Non-reasoning)?
Qwen3.6 27B (Non-reasoning) is developed by Alibaba and was released on April 22, 2026.