Qwen: Qwen3.8 27B
Analysis Summary
Qwen3.8 27B is a high-capability Qwen model designed for demanding general, coding, and automation work. Its reasoning capability is paired with a 68.1 coding index and a 50.9 agentic index, while the 1M token context supports large codebases, detailed briefs, and long business documents. Text, image, and video input broaden its usefulness for content and analysis workflows.
For an agency, the combination of function calling, tool use, and multimodal input makes it suitable for research agents, software delivery, structured content production, and document-heavy client work. It has enough technical strength to act as a primary model for many workflows rather than only a fallback or volume tier.
Input pricing is moderate and output pricing is higher, so routine high-volume generation may benefit from a cheaper companion model. Adopt it for complex work where broad modality and context capacity matter.
Assessed September 1, 2026
Editorial notes
Qwen3.8 27B combines world-class reasoning with strong coding and agentic capability, a 1M token context, vision, video input, and tool support at moderate pricing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.8 27B combines world-class reasoning with strong coding and agentic capability, a 1M token context, vision, video input, and tool support at moderate pricing.
How Qwen: Qwen3.8 27B compares
Qwen: Qwen3.8 27B ranks #33 of 433 AI models we track for overall intelligence, #39 of 206 for coding, #20 of 188 for agentic tasks. Its 1M-token context window is larger than 84% of the models we list. At $0.42 per million input tokens it is cheaper than 41% 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 content. 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 | $0.42 | $0.000420 |
| Output | $3.00 | $0.003000 |
What would Qwen: Qwen3.8 27B 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 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.8 27B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.8 27B
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be..
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Frequently asked questions about Qwen: Qwen3.8 27B
How much does Qwen: Qwen3.8 27B cost?
Qwen: Qwen3.8 27B costs $0.42 per million input tokens and $3.00 per million output tokens.
What is the context window of Qwen: Qwen3.8 27B?
Qwen: Qwen3.8 27B has a context window of 1,000,000 tokens (1M).
Is Qwen: Qwen3.8 27B good for coding?
On our coding benchmark index, Qwen: Qwen3.8 27B ranks #39 of 206 models, placing it in the top quartile of the field for code generation and debugging.
What can Qwen: Qwen3.8 27B do?
Qwen: Qwen3.8 27B supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.8 27B?
Qwen: Qwen3.8 27B is developed by Qwen and was released on August 14, 2026.