# Kandinsky 6 Pro

## Facts

- Model name: kandinsky6-pro
- Maker: Kandinsky
- Context window: 32K tokens
- Price: $0.270 per second
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.270 per second, 32K 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": "kandinsky6-pro",
    "prompt": "a red paper boat on a stream"
  }'
```

## Questions

### What is Kandinsky 6 Pro?

Kandinsky 6 Pro is a model from Kandinsky.

### How much does Kandinsky 6 Pro cost?

Offers now ask $0.270 second.

### What is the context length of Kandinsky 6 Pro?

The largest offer takes 32,000 input tokens. One job can generate up to 1 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Kandinsky 6 Pro do?

Its providers list Text.

### What inputs and outputs does Kandinsky 6 Pro support?

Text → Text · Video.

### Which providers serve Kandinsky 6 Pro?

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 Kandinsky 6 Pro?

Send "kandinsky6-pro" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Kandinsky 6 Pro 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/kandinsky6-pro)
- [Kandinsky 6 Lite](https://liquidinference.ai/models/kandinsky6-lite.md)
- [Set up a client](https://liquidinference.ai/connect/kandinsky6-pro)
- [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)