Deepgram Flux Models by Deepgram
1 model2025
Details
ResearcherDeepgram
LicenseProprietary
Commercial useCommercial use: conditional
Models1
Released2025
Capabilities
MultimodalAll models
Links
WebsiteAbout
Deepgram's Flux family provides conversational speech recognition for voice agents, combining ASR with model-native end-of-turn detection.
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
1 in view
Deepgram FluxCurrent
Use when the workload needs speech recognition, multimodal inputs, and audio.
2025-10speech recognitionmultimodal inputsaudio
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Deepgram Flux | Use when the workload needs speech recognition, multimodal inputs, and audio. | 2025-10 | speech recognitionmultimodal inputsaudio | Current |
Release Timeline
1 release group2025-10
1 current
Deepgram Flux
Currentspeech recognitionmultimodal inputsaudio
Specifications(1 models)
| Model | Released | Multimodal |
|---|---|---|
| Deepgram Flux | 2025-10 | Yes |
Available From(1 provider)
Frequently Asked Questions
- What is Deepgram Flux used for?
- Deepgram Flux is used for audio, speech recognition, and vision and multimodal work. The family description and listed model capabilities point to those workloads as the best fit.
- How does Deepgram Flux compare to MOSS-TTS?
- Deepgram Flux by Deepgram is strongest where you need audio, while MOSS-TTS by MOSI AI is the closest related family to check for audio. Deepgram Flux has 1 listed variant, so compare the specs and pricing tables before choosing a production model.
- Which Deepgram Flux model should I use?
- If price is the main constraint, use the pricing table first because Deepgram Flux does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Deepgram Flux with multimodal inputs.