# Qwen3.8-27B

> Dense vision-language model from Alibaba's Qwen team for coding, research and long-running agent tasks.

## Key facts

- Model author: Qwen
- Input: $0.50 per 1M tokens
- Output: $3.00 per 1M tokens
- Cached input: $0.10 per 1M tokens
- Context window: 1,000,000 tokens
- Input modalities: image, text, video
- Output modalities: text
- Capabilities: reasoning, structured_output, tools, vision
- Released: 2026-08-14
- Model IDs: `qwen/qwen3.8-27b`
- Model page: https://www.realrelay.ai/model/qwen/qwen3.8-27b

## Overview

Qwen3.8-27B is a dense vision-language model from Alibaba's Qwen team. It is suited for coding, professional workflows, research, multimodal interaction and long-running agent tasks, with flexible thinking, and it accepts image, text and video input. It supports reasoning, tool calling and structured output.

It has a 1M-token context window. It accepts text, image and video input and returns text. It was released on August 14, 2026.

## Capabilities

Qwen3.8-27B supports tool calling, reasoning, structured output and vision. It accepts text, image and video input and returns text.

As a dense model, all of its parameters take part in every token. It supports reasoning, tool calling, structured output and vision, so a long-running agent can look at images or video, think, call tools and report in a fixed format.

## Pricing

Qwen3.8-27B costs $0.50 per 1M input tokens and $3.00 per 1M output tokens, with cache reads at $0.10 per 1M tokens. Qwen3.8-27B is available through RealRelay's OpenAI-compatible API.

## Use cases

Use Qwen3.8-27B for coding and research agents that run for a long time, calling tools and reading screenshots, charts or other images along the way.

It also fits professional workflows and multimodal interaction, where a request mixes text with images or video and the 1M-token context window keeps the whole exchange in view.

## Call it

OpenAI-compatible chat completions:

```bash
curl https://www.realrelay.ai/v1/chat/completions \
  -H "Authorization: Bearer $REALRELAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen/qwen3.8-27b", "messages": [{"role": "user", "content": "Hello"}]}'
```

## FAQ

### What is Qwen3.8-27B?

Qwen3.8-27B is a dense vision-language model from Alibaba's Qwen team.

### How much does Qwen3.8-27B cost?

Qwen3.8-27B costs $0.50 per 1M input tokens and $3.00 per 1M output tokens, with cache reads at $0.10 per 1M tokens.

### What is the context window of Qwen3.8-27B?

Qwen3.8-27B has a 1M-token context window.

### What inputs and outputs does Qwen3.8-27B support?

Qwen3.8-27B accepts text, image and video input and returns text.

### Does Qwen3.8-27B support tool calling?

Yes. Qwen3.8-27B supports tool calling, reasoning, structured output and vision.

### When was Qwen3.8-27B released?

Qwen3.8-27B was released on August 14, 2026.

### How do I call Qwen3.8-27B via the API?

Send requests to RealRelay's OpenAI-compatible API with the model ID qwen/qwen3.8-27b to use Qwen3.8-27B.