# InternVL3

**InternVL3** is a vision language model with 1 billion parameters, built for tasks that include GUI agents, industrial image analysis, and 3D vision perception. It reads text and images, and returns text. [AI Inference](/en/documentation/platform/ai-inference/) runs it under the id `opengvlab-internvl3-1b-instruct`.

## Model details

The model id is the string that selects this model, and it is the first argument `Azion.AI.run` takes. The HuggingFace repository holds the model card.

| Detail                     | Value                                                                                     |
| -------------------------- | ----------------------------------------------------------------------------------------- |
| Model name                 | InternVL3                                                                                 |
| Version                    | Instruct 1B                                                                               |
| Model category             | Vision-Language Model (VLM)                                                               |
| Model id                   | `opengvlab-internvl3-1b-instruct`                                                         |
| Size                       | 1B parameters                                                                             |
| HuggingFace model          | [OpenGVLab/InternVL3-1B-Instruct](https://huggingface.co/OpenGVLab/InternVL3-1B-Instruct) |
| OpenAI-compatible endpoint | [OpenAI Chat API](https://developers.openai.com/api/reference/overview)                   |
| License                    | [Apache 2.0](https://choosealicense.com/licenses/apache-2.0/)                             |

## Capabilities

These values belong to the model and are not part of the request body. For the fields every chat request accepts, with their types, defaults, and bounds, refer to [Model invocation](/en/documentation/platform/ai-inference/model-invocation/).

| Capability     | Value          |
| -------------- | -------------- |
| Input data     | Text and image |
| Context length | 16k tokens     |
| Tool calling   | No             |
| Supports LoRA  | No             |

---

## Usage

A [function](/en/documentation/platform/functions/) invokes the model with `Azion.AI.run`, passing the id as the first argument and an OpenAI-compatible request body as the second. The examples below use that binding. To send the same body to the OpenAI-compatible HTTP endpoint instead, refer to [Model invocation](/en/documentation/platform/ai-inference/model-invocation/).

### Chat completion

A text request carries a system message and a user message, each holding its content as a string:

```ts
const modelResponse = await Azion.AI.run("opengvlab-internvl3-1b-instruct", {
  "stream": false,
  "messages": [
    { "role": "system", "content": "You are a helpful assistant." },
    { "role": "user", "content": "Name the European capitals." }
  ]
})
```

The model answers with one entry in `choices`, and the generated text sits at `choices[0].message.content`.

### Multimodal input

An image goes in the same `messages` array as the text. The user message takes its `content` as an array of parts instead of a string, and each part states its `type` and carries the field that type uses:

```ts
const modelResponse = await Azion.AI.run("opengvlab-internvl3-1b-instruct", {
  "stream": false,
  "messages": [
    { "role": "system", "content": "You are a helpful assistant." },
    {
      "role": "user",
      "content": [
        { "type": "text", "text": "What is in this image?" },
        { "type": "image_url", "image_url": { "url": "https://example.com/image.jpg" } }
      ]
    }
  ]
})
```

The model reads the image at that URL and answers about it in `choices[0].message.content`. For a field-by-field description of the parts a `content` array takes, refer to [Model invocation](/en/documentation/platform/ai-inference/model-invocation/).

---

## Related resources

- [Model invocation](/en/documentation/platform/ai-inference/model-invocation.md): Every field a request body accepts, including the content parts a multimodal message carries.
- [AI models](/en/documentation/platform/ai-inference/models.md): The other models AI Inference runs, and which of them also read images.
- [AI Inference](/en/documentation/platform/ai-inference.md): The product that runs this model.
- [Functions](/en/documentation/platform/functions.md): The product whose runtime holds the binding the examples on this page call.
- [AI Inference limits](/en/documentation/platform/ai-inference/limits.md): The conditions under which Azion terminates or deprovisions a model.
- [Glossary](/en/documentation/platform/ai-inference/glossary.md): Where model id, context length, and the rest of the AI Inference vocabulary are defined.