> For the complete documentation index, see [llms.txt](https://docs.ionos.com/cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ionos.com/cloud/ai/ai-model-hub/models/llms/qwen3-8-27b.md).
# Qwen3.8 27B
**Summary:** Qwen3.8-27B is a compact dense multimodal model from Alibaba Cloud's Qwen team and the most capable generation in the Qwen open-model family to date. Built on the architectural foundation of Qwen3.5, it pairs a 27B parameter language model with an integrated vision encoder and natively supports a 262K-token context window. The model delivers substantial gains in coding, professional work, research, and long-horizon agentic tasks, with flexible thinking control that lets you tune reasoning depth per request. It processes text and image input, with video input available in Beta, making it well-suited to complex multi-step workloads, autonomous agents, and vision-language applications.
| **Intelligence** | **Speed** | **Input** | **Output** |
| :---------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------: |
|    |   |    |    |
| *High* | *Medium* | *Text, Image, Video* | *Text* |
## Central parameters
**Description:** Compact dense multimodal model from Alibaba Cloud with 27B parameters and an integrated vision encoder. It offers strong reasoning, agentic execution, and image understanding, with video understanding in Beta.
**Model identifier:** `Qwen/Qwen3.8-27B`
## IONOS CLOUD AI Model Hub Lifecycle and Alternatives
| **IONOS CLOUD start date** | **End of Life** | **Alternative** | **Successor** |
| :------------------------: | :-------------: | :-------------: | :-----------: |
| *27 August 2026* | N/A | | |
## Origin
| **Provider** | **Country** | **License** | **Flavor** | **Release** |
| :---------------------------------------------------------------------------------: | :---------: | :-------------------------------------------------------------------------------------------------: | :--------: | :-----------: |
| [**Alibaba Cloud**](https://www.alibabacloud.com/) | China | [**Apache 2.0**](https://www.apache.org/licenses/LICENSE-2.0.html) | Instruct | *August 2026* |
## Technology
| **Context window** | **Parameters** | **Quantization** | **Multilingual** | **Further details** |
| :----------------: | :------------: | :--------------: | :--------------: | :------------------------------------------------------------------------------------------: |
| *262k* | *27B* | *FP8* | *Yes* | [**Hugging Face**](https://huggingface.co/Qwen/Qwen3.8-27B) |
## Modalities
| **Text** | **Image** | **Video** | **Audio** |
| :--------------: | :-------: | :------------: | :-----------: |
| Input and output | Input | Input *(beta)* | Not supported |
{% hint style="warning" %}
**Important:** Video input is in Beta. Video understanding is available for evaluation and may change without notice. Behaviour, latency, and token accounting for video are not yet covered by production service levels. Text and image input are generally available.
{% endhint %}
{% hint style="info" %}
**Note:** Video content is provided as a public URL using the `video_url` content type so the AI Model Hub can fetch it. Additionally, you can include up to four images in a single request.
{% endhint %}
## Endpoints
| **Chat completions** | **Embeddings** | **Image generation** |
| :------------------: | :------------: | :------------------: |
| v1/chat/completions | Not supported | Not supported |
## Features
| **Streaming** | **Reasoning** | **Tool calling** |
| :-----------: | :-----------: | :--------------: |
| Supported | Supported | Supported |
### Reasoning example
Qwen3.8-27B operates in thinking mode by default, generating an internal reasoning trace before producing its final response. It makes the model well-suited for complex, multi-step reasoning and agentic tasks.
Unlike Qwen3.5-9B, this model supports configurable reasoning depth through `reasoning_effort`. It accepts the following four values, and the default is `medium`:
| **Value** | **Behaviour** |
| ---------------------- | ---------------------------------------------------- |
| `xhigh` | For complex tasks demanding thorough analysis |
| `medium` **(default)** | Balances accuracy and speed |
| `low` | Efficient reasoning, optimized for speed and cost |
| `none` | Deactivates reasoning; returns only the final answer |
If you do not send `reasoning_effort`, the request uses `medium`. Set the value explicitly whenever you need a different trade-off between answer quality, latency, and token cost.
{% hint style="warning" %}
**Note:** The reasoning trace counts toward `max_tokens`. If `max_tokens` is set too low, reasoning can consume the entire token budget, leaving no tokens for the final answer. Activating reasoning also increases response latency, since the model generates the reasoning trace in addition to the final answer.
{% endhint %}
{% hint style="info" %}
**Note:** In multi-turn agentic tasks, a lower reasoning effort does not always reduce overall completion time. Each turn may respond faster, but insufficient analysis can cause more failures and retries. That can increase both total latency and token consumption.
{% endhint %}
#### Request
```json
{
"stream": false,
"model": "Qwen/Qwen3.8-27B",
"messages": [
{
"role": "user",
"content": "Answer me with one letter. Maybe A."
}
]
}
```
#### Response (shortened for readability)
```json
{
"choices": [
{
"message": {
"role": "assistant",
"content": "A",
"reasoning": "User asks to answer with one letter, maybe A. So respond with a single letter."
}
}
]
}
```
#### Control reasoning depth
To trade some accuracy for lower latency and cost, lower the reasoning effort.
```json
{
"stream": false,
"model": "Qwen/Qwen3.8-27B",
"reasoning_effort": "low",
"messages": [
{
"role": "user",
"content": "Answer me with one letter. Maybe A."
}
]
}
```
#### Deactivate reasoning
To skip the internal reasoning trace and return only the final answer, set `"reasoning_effort": "none"`.
```json
{
"stream": false,
"model": "Qwen/Qwen3.8-27B",
"reasoning_effort": "none",
"messages": [
{
"role": "user",
"content": "Answer me with one letter. Maybe A."
}
]
}
```
## Usage example
### Chat completions
The following example demonstrates how to use **Qwen3.8-27B** for everyday conversational tasks, such as drafting a concise product description.
**API Endpoint:** `POST https://openai.inference.de-txl.ionos.com/v1/chat/completions`
**Request:**
```json
{
"model": "Qwen/Qwen3.8-27B",
"messages": [
{
"role": "system",
"content": "You are a helpful marketing assistant. Write clear, concise product copy."
},
{
"role": "user",
"content": "Write a one-sentence product description for a stainless steel water bottle that keeps drinks cold for 24 hours."
}
],
"temperature": 0.5,
"max_tokens": 1000
}
```
**Response:**
```json
{
"id": "chatcmpl-890",
"object": "chat.completion",
"created": 1677652289,
"model": "Qwen/Qwen3.8-27B",
"choices": [{
"index": 0,
"message": {
"role": "assistant",
"content": "Stay refreshed all day with our double-walled stainless steel water bottle, engineered to keep your drinks ice-cold for a full 24 hours.",
"reasoning": "The user wants a single-sentence product description for an insulated stainless steel water bottle highlighting 24-hour cold retention. I will keep it to one sentence and emphasize the key benefit."
},
"finish_reason": "stop"
}],
"usage": {
"prompt_tokens": 41,
"completion_tokens": 33,
"total_tokens": 74
}
}
```
### Vision model example
```json
{
"model": "Qwen/Qwen3.8-27B",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What do you see in this image?"
},
{
"type": "image_url",
"image_url": {
"url": "https://www.ionos.com/favicon.ico?v2",
"detail": "auto"
}
}
]
}
],
"temperature": 0.7,
"max_tokens": 1000
}
```
### Video input example
Qwen3.8-27B also accepts video input. Pass a clip with the `video_url` content type; the AI Model Hub fetches the file, so the URL must be public.
Video input is currently in **Beta**; see the note in [Modalities](#modalities).
```json
{
"model": "Qwen/Qwen3.8-27B",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Describe what happens in this video."
},
{
"type": "video_url",
"video_url": {
"url": "https://example.com/sample-clip.mp4"
}
}
]
}
],
"temperature": 0.7,
"max_tokens": 1000
}
```
### Stream chat completions
To receive responses in real time, you can use streaming. When streaming is selected, usage statistics are not included by default. To obtain usage information in the final stream chunk, you must explicitly set `"stream_options": {"include_usage": true}`.
**API Endpoint:** `POST https://openai.inference.de-txl.ionos.com/v1/chat/completions`
**Request:**
```json
{
"model": "Qwen/Qwen3.8-27B",
"messages": [
{
"role": "user",
"content": "Compose a poem about the sea."
}
],
"stream": true,
"stream_options": {
"include_usage": true
}
}
```
**Response:**
```json
...
data: {"choices":[],"created":1769419547,"id":"chatcmpl-3d0323bb-67f8-41c5-b757-8fc5a48230f4","model":"Qwen/Qwen3.8-27B","object":"chat.completion.chunk","usage":{"completion_tokens":26,"prompt_tokens":78,"total_tokens":104}}
data: [DONE]
```
## Rate limits
Rate limits ensure fair usage and reliable access to the AI Model Hub. In addition to the [contract-wide rate limits](/cloud/ai/ai-model-hub/how-tos/rate-limits.md), no model-specific limits apply.
---
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