Qwen: Qwen3.8 27B
Analysis Summary
Qwen3.8 27B is a multimodal model with an intelligence index of 52, a coding index of 68.1, and an agentic index of 50.9. It supports a 1M-token context, vision, video, tool use, and function calling, giving it a wide operational range across code, documents, media, and connected applications.
The model fits software engineering, long-document analysis, visual content review, structured SEO production, and agent workflows that need reliable tool interaction. Its $0.40 per million input pricing is accessible for regular use, although the $3 output price makes verbose generation and large-scale bulk traffic more expensive. Multimodal input also reduces the need for separate specialist models in some workflows.
Adopt Qwen3.8 27B as a versatile production model for agencies that need broad capability without flagship pricing. Route simple repetitive tasks to a cheaper model where appropriate.
Assessed August 23, 2026
Editorial notes
Qwen3.8 27B delivers very strong reasoning and coding, agentic tool use, a 1M-token context, and text, image, and video input. Its moderate input price supports broad agency deployment, with output costs higher than budget models.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.8 27B delivers very strong reasoning and coding, agentic tool use, a 1M-token context, and text, image, and video input. Its moderate input price supports broad agency deployment, with output costs higher than budget models.
How Qwen: Qwen3.8 27B compares
Qwen: Qwen3.8 27B ranks #29 of 428 AI models we track for overall intelligence, #35 of 201 for coding, #17 of 183 for agentic tasks. Its 1M-token context window is larger than 85% of the models we list. At $0.40 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 business fit. The pulled-in value 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 | $0.40 | $0.000400 |
| Output | $3.00 | $0.003000 |
What would Qwen: Qwen3.8 27B 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 715 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 $0.40 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 #35 of 201 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.