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Deepgram: Flux (Speech Recognition)
Flux is the first conversational speech recognition model built specifically for voice agents.
- Input
- audio
- Output
- text
- Audio understanding
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
No benchmark results are available for this model yet.
Frequently asked questions
Free access, setup, and what to expect.
Flux (Speech Recognition) is available with up to 10,000 neurons / day free through Cloudflare. Free allowances can change. Check the Flux (Speech Recognition) provider limits before you start.
To use Flux (Speech Recognition), choose one of the listed Flux (Speech Recognition) API providers and follow the provider’s account and API-key setup guide. Copy the Flux (Speech Recognition) model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Flux (Speech Recognition) accepts audio as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Flux (Speech Recognition) documentation for supported file types and request formats.
Neither reasoning nor tool calling support is listed for Flux (Speech Recognition). Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
No benchmark results are listed for Flux (Speech Recognition) yet. Missing scores don’t establish poor performance. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Flux (Speech Recognition) on examples from your own task alongside context size and provider limits.