# Whisper (via Groq)

It's similar to the [Whisper](https://docs.boltai.com/docs/plugins/whisper) plugin, but instead of hosting on OpenAI server, it's hosted by Groq. Unlike other AI services, Groq uses The LPU™ Inference Engine that delivers exceptional compute speed, quality, and energy efficiency.

### How to set up the plugin?

Go to Settings > Plugins > Whisper (via Groq). Select tab `Settings` then enter your Groq API key.

### How to use the plugin?

See the usage on the [Whisper plugin page](https://docs.boltai.com/docs/plugins/whisper).

### What are the main differences?

|            | Whisper via OpenAI                                                                                        | Whisper via Groq                                         |
| ---------- | --------------------------------------------------------------------------------------------------------- | -------------------------------------------------------- |
| Model      | whisper-large-v2                                                                                          | whisper-large-v3                                         |
| Rate limit | High ([up to 500 RPM](https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-five)) | Low ([20 RPM](https://console.groq.com/settings/limits)) |
| Pricing    | [$0.006 / minute](https://openai.com/api/pricing/)                                                        | Free for now                                             |

### Limitations

It has the same limitation as the Whisper plugin: File uploads are currently limited to 25 MB and the following input file types are supported: `mp3`, `mp4`, `mpeg`, `mpga`, `m4a`, `wav`, and `webm`.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.boltai.com/docs/plugins/whisper-groq.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.