# Juggernaut: Pro Flux

## Facts

- Model name: juggernaut-pro-flux
- Maker: Flux
- Context window: 32K tokens
- Price: $0.017 per image
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.017 per image, 32K tokens of context

## Request

```sh
curl https://router.inference.ai.exchange/v1/images/generations \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "juggernaut-pro-flux",
    "prompt": "a cat on a bicycle"
  }'
```

## Questions

### What is Juggernaut: Pro Flux?

Juggernaut: Pro Flux is a model from Flux.

### How much does Juggernaut: Pro Flux cost?

Offers now ask $0.017 image.

### What is the context length of Juggernaut: Pro Flux?

The largest offer takes 32,001 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 Juggernaut: Pro Flux do?

Its providers list Text.

### What inputs and outputs does Juggernaut: Pro Flux support?

Text → Text · Images.

### Which providers serve Juggernaut: Pro Flux?

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 Juggernaut: Pro Flux?

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

### When was Juggernaut: Pro Flux listed?

The exchange first listed it on 10/7/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/juggernaut-pro-flux)
- [Set up a client](https://liquidinference.ai/connect/juggernaut-pro-flux)
- [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)
