Qwen: Qwen3.8 27B
Analysis Summary
Qwen: Qwen3.8 27B has an intelligence index of 33.7, a coding index of 68.1, and an agentic index of 45.8. It supports tool use and function calling, accepts image and video input, and provides a 1M-token context window. This mix gives it practical scope across code assistance, multimodal document work, and tool-connected tasks, with particularly strong coding results relative to its general reasoning measure.
For business workflows, it is a plausible choice for coding support, long-document analysis, and visual intake that benefits from a large context. The listed input price is $0.42 and output price is $3, so output-heavy workloads need cost controls. Teams should reserve it for tasks that use its coding, context, or multimodal strengths, and route routine text traffic to a cheaper option. Its benchmark evidence supports a production pilot, with normal task-specific validation before wider deployment.
Assessed September 23, 2026
Editorial notes
Qwen3.8 27B combines strong coding and agentic results with vision, tool calling, and a 1M-token context; its output price is higher than its input price.
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
Qwen3.8 27B combines strong coding and agentic results with vision, tool calling, and a 1M-token context; its output price is higher than its input price.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
How Qwen: Qwen3.8 27B compares
Qwen: Qwen3.8 27B ranks #39 of 435 AI models we track for overall intelligence, #31 of 198 for coding, #15 of 181 for agentic tasks. Its 1M-token context window is larger than 86% of the models we list. At $0.43 per million input tokens it is cheaper than 36% 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 | $0.43 | $0.000425 |
| 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 697 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..
Frequently asked questions about Qwen: Qwen3.8 27B
How much does Qwen: Qwen3.8 27B cost?
Qwen: Qwen3.8 27B costs $0.43 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 #31 of 198 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.