# Moss: Video And Audio

## Facts

- Model name: moss-video-and-audio
- Maker: Openmoss
- Context window: 1,024 tokens
- Price: $0.120 per second
- Providers: 1 independent provider
- Regions: global

## Providers

- [EmpirioLabs AI](https://liquidinference.ai/providers/4f49f07c-0d26-44bd-88a8-34f3f5fbd3b7.md): global, $0.120 per second, $0.065 fee for each request, 1,024 tokens of context

## Request

```sh
curl https://router.inference.ai.exchange/v1/videos \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moss-video-and-audio",
    "prompt": "a red paper boat on a stream"
  }'
```

## Questions

### What is Moss: Video And Audio?

Moss: Video And Audio is a model from Openmoss.

### How much does Moss: Video And Audio cost?

Offers now ask $0.120 second.

### What is the context length of Moss: Video And Audio?

The largest offer takes 1,024 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Moss: Video And Audio do?

Its providers list Text.

### What inputs and outputs does Moss: Video And Audio support?

Text → Text · Video.

### Which providers serve Moss: Video And Audio?

1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.

### How do I call Moss: Video And Audio?

Send "moss-video-and-audio" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Moss: Video And Audio listed?

The exchange first listed it on 10/17/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/moss-video-and-audio)
- [Set up a client](https://liquidinference.ai/connect/moss-video-and-audio)
- [All models](https://liquidinference.ai/models)
- [Providers](https://liquidinference.ai/providers.md)
- [Discover the best model for your budget](https://liquidinference.ai/discover)
- [Quickstart](https://liquidinference.ai/docs/quickstart.md)
- [llms.txt: the index of every page, as Markdown](https://liquidinference.ai/llms.txt)
- [llms-full.txt: every page in one file](https://liquidinference.ai/llms-full.txt)