Deepgram is a developer-focused voice AI platform, not a standalone consumer voice assistant. It offers speech-to-text, text-to-speech, a real-time Voice Agent API and audio-analysis features. The right option depends on whether you need to transcribe audio, manage live conversational turn-taking or build a complete voice agent—and pricing varies by model, usage and plan.
What Deepgram does
Deepgram provides APIs and related deployment options for adding speech features to software. Its product range includes speech-to-text (STT), text-to-speech (TTS), the Voice Agent API, and Audio Intelligence features such as summarization, topic detection, sentiment analysis and intent recognition. Some analysis capabilities are billed separately from transcription.
Deepgram announced general availability of its Voice Agent API on June 16, 2025. The company describes it as a unified real-time interface coordinating speech recognition, language-model processing and speech generation. Developers can use Deepgram’s Nova-3 and Aura-2 models or bring their own LLM and TTS. Deepgram named Aircall, Jack in the Box, StreamIt and OpenPhone as companies building with the service in its announcement; those are company-reported examples, not independent evaluations. Read the launch announcement.
Flux, Nova-3 and Aura-2: which product fits?
Flux: streaming speech recognition for conversation
Deepgram positions Flux for interactive voice-agent workflows. Its distinguishing feature is model-integrated end-of-turn detection and configurable turn-taking, intended to help an agent determine when a speaker has finished. That makes Flux a candidate when a live conversation needs to respond at the right moment; Deepgram’s performance descriptions are vendor positioning, not independent benchmark results.
#1 Best Overall
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Nova-3: general-purpose speech-to-text
Nova-3 is Deepgram’s general-purpose ASR option. The company recommends it for meetings, event captioning, multi-speaker, multilingual, noisy and far-field audio, in either streaming or prerecorded workflows. Unlike Flux, it is not positioned around integrated turn detection.
Aura-2: text-to-speech
Aura-2 converts text into generated speech. Deepgram’s reviewed pricing page lists it at a higher per-character rate than Aura-1. Flux also has a TTS rate on that page.
Rank #2
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Voice Agent API and Audio Intelligence
The Voice Agent API brings speech recognition, LLM processing and speech generation into a real-time interface, with the option to use Deepgram components or bring your own LLM and/or TTS. Audio Intelligence covers transcript and audio analysis tasks such as summaries, topics, sentiment and intent; check whether a chosen feature is billed separately.
Deepgram pricing: published rates and plan differences
The following Pay As You Go rates were shown on Deepgram’s pricing page when accessed October 5, 2026. They are a dated pricing snapshot, not a promise that rates or availability will remain unchanged. The page also lists other Voice Agent API combinations and Growth-plan rates; the figures below are the specifically stated Pay As You Go prices.
Rank #3
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| Service | Published Pay As You Go rate |
|---|---|
| Nova-3 monolingual streaming STT | $0.0048 per audio minute |
| Nova-3 multilingual streaming STT | $0.0058 per audio minute |
| Nova-3 monolingual prerecorded STT | $0.0043 per audio minute |
| Nova-3 multilingual prerecorded STT | $0.0052 per audio minute |
| Flux English streaming | $0.0065 per audio minute |
| Flux multilingual streaming | $0.0078 per audio minute |
| Aura-2 TTS | $0.030 per 1,000 characters |
| Aura-1 TTS | $0.0150 per 1,000 characters |
| Flux TTS | $0.0450 per 1,000 characters |
| Voice Agent API Standard | $0.075 per minute |
| Voice Agent API Standard with bring-your-own TTS | $0.065 per minute |
| Voice Agent API Advanced | $0.163 per minute |
| Voice Agent API Advanced with bring-your-own TTS | $0.122 per minute |
Deepgram’s pricing page states that the Growth plan starts with a $4,000-per-year commitment and offers discounts and higher concurrency limits compared with Pay As You Go. It also lists a $200 free-credit offer. These are page-stated terms and offers; eligibility and current availability should be confirmed with Deepgram. Check Deepgram’s current pricing page.
Estimate costs against the actual workload
For transcription, multiply the applicable per-minute rate by the audio minutes processed, separating streaming from prerecorded audio and monolingual from multilingual use. For TTS, estimate generated characters and apply the selected model’s per-1,000-character rate. A Voice Agent API rate is per minute, but the applicable price depends on tier and which components you bring yourself. Also account for separately billed Audio Intelligence features and compare expected volume and concurrency against plan terms. The listed rates alone do not establish a total bill for a particular design.
Rank #4
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How to choose between transcription and a voice agent
- Choose Flux as a candidate when the application needs streaming recognition with turn-taking detection for a live back-and-forth conversation.
- Consider Nova-3 for general transcription, including prerecorded audio, captions, meetings or workflows where the listed language and audio conditions fit.
- Consider the Voice Agent API if you want one real-time interface coordinating speech and LLM steps. Compare the integrated stack with bringing your own LLM or TTS, since pricing varies with those choices.
- Check the target audio and languages against current model documentation rather than assuming a recommendation covers every accent, environment or language combination.
- Evaluate deployment, concurrency and data location alongside per-unit rates if the service will handle regulated or high-volume workloads.
Deepgram’s reviewed sources provide its product positioning and published prices, but not a current independent head-to-head benchmark. Do not treat vendor latency or accuracy statements as a substitute for evaluating the intended workload.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Cloud, self-hosted and hybrid deployment
Deepgram’s partner page describes three deployment modes: Deepgram Cloud; self-hosting on customer infrastructure, including on-premises, VPC or private cloud; and hybrid configurations. Deepgram says self-hosting can support data-residency, air-gap or latency needs. Confirm which models and controls are available for the intended deployment and geography, and verify contractual terms directly. See Deepgram’s partner and deployment information.
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Security and compliance claims
Deepgram’s pricing page states SOC 2 Type 1 and Type 2 certification, HIPAA compliance with Business Associate Agreements for enterprise customers handling ePHI, GDPR readiness with a dedicated EU endpoint, CCPA compliance and PCI compliance. These are statements by Deepgram, not a determination that a particular implementation satisfies its obligations. Buyers should confirm the scope, applicable contracts, endpoint and safeguards for their use case before making a compliance decision. Review the company’s current pricing and compliance statements.
Startup and partner options
Deepgram for Startups
The startup program page says applicants should be AI builders or early-stage startups in production or expecting to launch within six months, and committed to building and engaging with the community. Selected startups may receive up to $100,000 in Deepgram credits usable within 12 months; this is a maximum, not a guaranteed award. Deepgram says applications are reviewed, a typical response takes about one week, and accepted credits are deposited within 24–48 hours. Confirm current eligibility and terms on the Deepgram for Startups page.
Partner ecosystem
Deepgram describes technology partners that embed its APIs, channel partners that resell or distribute them, and consultancy or service partners that implement solutions. The company describes partner engineering, co-marketing and variable commercial arrangements such as reseller margins, embedded pricing and enterprise agreements. Prospective partners apply and go through fit review and scoping; the reviewed page does not establish public affiliate commissions or publisher referral terms.
The partner page lists ecosystem relationships including LiveKit and NVIDIA and surfaces AWS materials for Amazon Connect/Lex, SageMaker, Bedrock and serverless workflows. Treat these as integration leads to assess against a project, not as consumer product recommendations.
Quick Recap
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