Analysis Summary
Qwen3.8 27B is a capable multimodal model with measured reasoning, coding, and agentic performance. It supports text, image, and video inputs, tool use, function calling, and a 1M token context window, giving it broad coverage across documents, media, code, and structured tasks.
That profile fits agency research agents, software assistance, visual content audits, technical SEO, and long-document analysis. It can also support workflows where a single model must interpret mixed media before producing a structured action plan. Listed input pricing of $0.42 per million tokens is attractive, although the $3 output price requires sensible routing for verbose tasks. Adopt it as a versatile production model when multimodality and context capacity matter.
Assessed September 7, 2026
Editorial notes
Qwen3.8 27B combines strong reasoning and coding with vision, video input, tool calling, and a 1M context window. Its moderate input price makes it a flexible choice for multimodal client workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.8 27B combines strong reasoning and coding with vision, video input, tool calling, and a 1M context window. Its moderate input price makes it a flexible choice for multimodal client workflows.
How Qwen: Qwen3.8 27B compares
Qwen: Qwen3.8 27B ranks #53 of 437 AI models we track for overall intelligence, #41 of 209 for coding, #27 of 191 for agentic tasks. Its 1M-token context window is larger than 83% of the models we list. At $0.21 per million input tokens it is cheaper than 52% 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 intelligence 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 | $0.21 | $0.000214 |
| Output | $2.55 | $0.002550 |
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 772 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 $0.21 per million input tokens and $2.55 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 #41 of 209 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.
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 12, 2026 8:38 pm