> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gengen.farm/llms.txt
> Use this file to discover all available pages before exploring further.

# Seed 2.0 Mini

> Lowest-cost Seed 2.0 text model for high-throughput chat completions with text, image, audio, and video inputs.

Seed 2.0 Mini is the low-cost Seed 2.0 text generation tier exposed through the Chat Completions API.

It supports text, image, audio, and video input with text output, making it the default fit for inexpensive multimodal prompt processing where the strongest reasoning tier is not required.

## Model ID

```text theme={"dark"}
seed-2-0-mini-260428
```

Pass this exact public ID in the top-level `model` field. Do not substitute an upstream provider alias.

## Supported modes

* `chat_completions`
* `text_generation`

## Inputs

* `Text`
* `Image`
* `Audio`
* `Video`

## Outputs

* `Text`

## Capabilities

* `Chat completions`
* `Text generation`

### Additional capabilities

* `Online inference`
* `Streaming output`
* `Context caching`

## Technical details

| Property             | Value                             |
| -------------------- | --------------------------------- |
| Provider             | `byteplus-modelark`               |
| Modality             | `reasoning`                       |
| Processing           | `Synchronous response`            |
| Endpoint             | `/api/gengen/v1/chat/completions` |
| Rate limit           | `30K`                             |
| Context window       | `256K`                            |
| Max input tokens     | `224K`                            |
| Max output tokens    | `128K`                            |
| Max reasoning tokens | `128K`                            |
| Token rate limit     | `1500K`                           |

<Note>
  Availability and final customer prices can change. Check the [Dashboard model catalog](https://gengen.farm/dashboard?section=models) before production use.
</Note>

See the [API reference overview](/api-reference/introduction) for authentication, request conventions, and response schemas.