# Qwen3.8 27B

Canonical page: https://agentsky.dev/models/qwen/qwen3.8-27b
JSON record: https://gateway.agentsky.dev/v1/models/qwen/qwen3.8-27b

Qwen3.8 27B is a text and image and video-input model by Qwen, available through the AgentSky API as qwen/qwen3.8-27b at $1.148895 per million input tokens and $1.729145 per million output tokens, with a 262K context window.

Qwen3.8 27B is an open-weight dense vision-language model from Qwen.

## Facts

- **Model id:** `qwen/qwen3.8-27b`
- **Maker:** Qwen
- **Input modalities:** Text, Image, Video
- **Context:** 262K
- **Max output tokens:** 65,536
- **Aliases:** `qwen/qwen3.8-27b`, `qwen3.8-27b`

## Pricing

USD per million tokens on the default plan. Signed-in pages show your own plan's price; every response carries the cost of that call in `usage.cost`.

| Meter | Per 1M tokens |
|---|---|
| Input | $1.148895 |
| Output | $1.729145 |
| Cache read | $1.148895 |
| Cache write | $1.148895 |

## Use it

Anthropic wire base URL: `https://gateway.agentsky.dev`. OpenAI wire base URL: `https://gateway.agentsky.dev/v1`. Authenticate with an AgentSky API key (`ast_…`) and pass the model id.

### OpenAI SDK

```js
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://gateway.agentsky.dev/v1",
  apiKey: process.env.AGENTSKY_API_KEY, // ast_…
});

const completion = await client.chat.completions.create({
  model: "qwen/qwen3.8-27b",
  messages: [{ role: "user", content: "Summarise this ticket." }],
});
console.log(completion.usage.cost); // USD, in the response
```

### Codex

```bash
export OPENAI_BASE_URL="https://gateway.agentsky.dev/v1"
export OPENAI_API_KEY="$AGENTSKY_API_KEY"

codex --model qwen/qwen3.8-27b
```

### OpenCode

```js
// opencode.json — then switch models any time with /models
{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "agentsky": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "AgentSky",
      "options": {
        "baseURL": "https://gateway.agentsky.dev/v1",
        "apiKey": "{env:AGENTSKY_API_KEY}"
      },
      "models": { "qwen/qwen3.8-27b": {} }
    }
  }
}
```

## Questions

### What is Qwen3.8 27B?

Qwen3.8 27B is a model from Qwen. Qwen3.8 27B is an open-weight dense vision-language model from Qwen.

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

$1.148895 / $1.729145 per million tokens at the prices shown, for input and output respectively. The exact price of every call comes back in the response as usage.cost, so you never have to compute it.

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

262K tokens, and it writes up to 66K tokens in one reply. These are the limits listed for this model in the current AgentSky catalog.

### Which clients can call Qwen3.8 27B?

Anything that speaks the OpenAI-compatible request format. Point the client's base URL at the gateway, use an AgentSky key, and pass qwen/qwen3.8-27b as the model.

### How do I name Qwen3.8 27B in a request?

The gateway accepts qwen/qwen3.8-27b, qwen3.8-27b. Any of them resolves to the same model, so an existing integration usually needs no change to its model string.

### Can Qwen3.8 27B read images?

Yes. Its listed input types are text, image, video. Include the image with your request; image input does not imply image generation.

### What output can Qwen3.8 27B produce?

The listed output types are text. This model returns text. Producing image, video or audio files requires a suitable tool or another model; it is not included in text generation.

### How should I plan a long prompt for Qwen3.8 27B?

Plan your instructions, conversation history and source material around the 262K-token context limit, leaving room for the response. The listed response ceiling is 66K tokens. A larger window lets you supply more relevant material; it does not make unrelated content useful.

### What would 10,000 input tokens and 2,000 output tokens cost with Qwen3.8 27B?

At the displayed input and output rates, the model-token subtotal is $0.01494724. This example assumes uncached input and excludes additional pricing categories, tool calls and agent runtime. Actual usage determines the final charge.

### How is cached input priced for Qwen3.8 27B?

The catalog lists $1.148895 per million cache-read tokens. Cache writes are listed at $1.148895 per million tokens. Repeating a prompt does not by itself guarantee a cache hit; only usage reported as cached receives that rate.

### Does the Qwen3.8 27B token price cover an entire agent task?

No. The model price covers the model usage described above. A task can also incur tool and runtime charges, and several model calls may be needed to complete it. Compare total task usage when evaluating cost.

### How do I use Qwen3.8 27B on AgentSky?

The composer above preselects Qwen3.8 27B for a compatible agent. Enter a concrete task, select any tools or connectors it needs, and send. Sign in if prompted; paid execution requires available credits.