# Qwen3.8 27B: API price, context window and how to connect

Qwen3.8 27B by Qwen (Alibaba): $0.24 per million input tokens, $2.2 per million output tokens, a 1M-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.

## In short

Qwen's open dense model with 27 billion parameters that understands text, images and video. Suited to code, professional work, research and long agentic tasks; the reasoning mode is optional.

## Specifications

| | |
|---|---|
| Provider | [Qwen (Alibaba)](https://skillok.org/docs/en/ai-models/providers/qwen) |
| Released | 2026-08-14 |
| Context window | 1M tokens |
| Accepts | text, images, video |
| Answers with | text |
| Reasoning mode | yes |
| Tool calling | yes |
| Open weights | yes |
| Identifier | `qwen/qwen3.8-27b` |

## Price

| Per 1M tokens | In dollars |
|---|---|
| Input (question, context) | $0.24 |
| Output (answer) | $2.2 |

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about **$0.038**. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.

## What it is good for

* Code and agentic tasks
* Running on your own hardware
* Work with images and video

## Similar models

Catalog models with the same kind of output, closest in the price of a typical request.

| Model | Input | Output | Window | Price |
|---|---|---|---|---|
| [Devstral 2 2512](https://skillok.org/docs/en/ai-models/models/devstral-2512) | $0.4 | $2 | 262K | about the same |
| [Mistral Large 4](https://skillok.org/docs/en/ai-models/models/mistral-large-4-0) | $0.68 | $2.09 | 1.05M | 1.2× more expensive |
| [DeepSeek V4 Pro 0423](https://skillok.org/docs/en/ai-models/models/deepseek-v4-pro) | $0.955 | $1.911 | 1.05M | 1.3× more expensive |
| [Qwen3.7 Plus](https://skillok.org/docs/en/ai-models/models/qwen3-7-plus) | $0.32 | $1.28 | 1M | 1.5× cheaper |
| [GLM 5.3](https://skillok.org/docs/en/ai-models/models/glm-5-3) | $0.079 | $1.4 | 1.05M | 1.7× cheaper |

## Other Qwen (Alibaba) models

* [Qwen3.8 Max Prime](https://skillok.org/docs/en/ai-models/models/qwen3-8-max-prime)
* [Qwen3.8 Flash](https://skillok.org/docs/en/ai-models/models/qwen3-8-flash)
* [Qwen3.8 Omni Flash](https://skillok.org/docs/en/ai-models/models/qwen3-8-omni-flash)
* [Qwen3.7 Plus](https://skillok.org/docs/en/ai-models/models/qwen3-7-plus)

## How to connect in SKILLOK

Qwen3.8 27B works through OpenRouter: add an OpenRouter key in **Settings → AI** and pick the `qwen/qwen3.8-27b` model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — [Connecting a model in SKILLOK](https://skillok.org/docs/en/ai-models/connecting-in-skillok).

## Where the data comes from

Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.

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https://skillok.org/docs/en/ai-models/models/qwen3-8-27b