Deepgram Nova-3, Nova-3 Multilingual, Flux, and Aura-2 now run natively on Together AI Dedicated Model InferenceDeepgram covers both ends of the voice pipeline, from transcription to synthesis, in one model lineupTogether AI gives teams a single production surface for real-time voice agents, with STT, LLM, and TTS on one platformEnterprise controls include zero data retention, SOC 2 Type II, HIPAA-ready support, and data residency optionsReal-time voice agents often fail when speech is treated as transcription rather than conversation. Getting the words right is only part of the challenge: the system also has to detect turn boundaries, handle interruptions and overlap, and respond quickly enough to keep the exchange feeling natural. When teams try to patch those gaps with endpointing logic, routing layers, and extra providers, they often add latency and operational fragility right back into the system. Deepgram’s models are purpose-built for that layer, where transcription, turn-taking, and responsiveness have to work together in real time.Deepgram’s STT and TTS model lineup now runs natively on Together AI, the AI Native Cloud for building real-time voice agents, so teams can pair Deepgram transcription and synthesis with any LLM in the Together catalog and run the full voice pipeline on one production platform. For the broader architecture, see our real-time voice agents announcement. “Voice agents live or die by latency, and every network hop between providers is a place where the experience breaks down. By hosting Deepgram’s STT and TTS natively on Together AI’s infrastructure, we’re giving developers production-grade transcription without the tradeoff. Fast, accurate, and co-located with the rest of the pipeline.”- Abe Pursell, VP of Partnerships, DeepgramFlux: Conversational STT with turn detectionAccurate transcription is only part of the job. A voice agent also has to know when the speaker is actually finished, because if it misreads the turn, it either talks over the caller or waits too long and feels unresponsive.Flux is Deepgram’s conversational STT model for real-time agents, built not just to transcribe speech but to produce turn signals from conversational context rather than silence alone. That matters because many teams still rely on extra endpointing logic to bridge this gap, which adds complexity and makes latency harder to control. Flux simplifies that part of the stack and helps keep turn-taking more predictable in production with 250ms end-of-turn detection.Nova-3: Production transcription for real-world audioProduction audio is messier than benchmark audio. Calls come with background noise, overlapping speakers, accents, telephony compression, and interruptions, and the model still has to return text the rest of the pipeline can trust. Nova-3 is built for those conditions, with support for vocabulary customization so teams can improve recognition of domain-specific terms without retraining.Nova-3 Multilingual extends that approach across multiple languages, which matters in deployments where callers switch languages mid-conversation.Aura-2: Enterprise TTS for production voice agentsAura-2 covers the synthesis side of the pipeline for business environments where clarity and consistency matter. Teams can use Deepgram STT and TTS together while keeping output stable for domain-specific terms and structured entities.That difference shows up in delivery. The voice has to stay clear, direct, and reliable when it reads structured information or specialized language back to the user. A voice that sounds fine in a demo is not enough if it starts to stumble once the interaction becomes operational. Deepgram Aura-2 Thalia voice in English Play Pause 0:00 0:19 "Welcome to the show. Today we're exploring something truly fascinating — the power of voice. It's not just the words that matter. It's the feeling behind them, the quiet moments of reflection, and the clarity to handle the details when they count." Like this: Dr. Sarah Chen, 450 Park Avenue, New York, 10022 — your confirmation is BX-4072 with a $14.99 copay. That's a lot of detail, and every bit of it needs to land clearly. That's what a great voice can do." Try now Use casesContact center voice agentsContact centers are inherently messy environments. Call quality varies, speakers overlap, interruptions are constant, and latency still has to stay low enough for natural back-and-forth. Deepgram’s models help agents stay in flow through those conditions, keeping conversations responsive and intelligible instead of letting them break down into delays, missed turns, or unclear responses.Healthcare voice agentsHealthcare voice agents need accurate transcription of medication names, procedure terms, and clinical language, along with output that stays clear when reading the same terms back to patients. A transcription error at the start of the pipeline can surface later as a fluent but incorrect response, which is exactly the kind of failure these systems cannot afford. Nova-3 helps teams adapt recognition to clinical language, while Aura-2 keeps patient-facing output clear and consistent.Financial servicesFinancial voice systems depend on precision. Account numbers, routing numbers, trade confirmations, and structured financial language need to be captured correctly the first time, because a single transcription miss can create a failed transaction, compliance issue, or broken customer interaction. Deepgram’s speech models give teams a stronger foundation for these regulated workflows.Multilingual customer supportGlobal support teams need speech models that hold up when callers move between languages and accents in the same interaction. Nova-3 Multilingual helps teams serve those conversations without building separate STT pipelines for every market, which makes multilingual support easier to scale and easier to operate.Production infrastructure on Together AIDeepgram models run on Together AI Dedicated Model Inference alongside LLM and TTS workloads on isolated capacity. Keeping transcription, reasoning, and synthesis in the same production environment makes real-time systems easier to operate and gives teams tighter control over performance as they scale.Together AI is the AI Native Cloud for production inference, and Dedicated Model Inference gives teams the control and reliability they need to run voice agents at scale. Infrastructure Dedicated GPU capacity with isolated workloads 99.9% uptime SLA SOC 2 Type II and HIPAA-ready support, with PCI support where applicable Global regions with data residency options Developer experience Same SDKs and authentication across LLM, STT, and TTS endpoints Single observability and logging surface for the voice pipeline Model selection and swapping via configuration One billing surface across your stack Together AI supports a broad voice catalog in one place, so teams can mix and match across the pipeline without adding vendors. That includes open-source and proprietary models deployed alongside the LLMs that power agent reasoning.See the Together AI voice solutionsGet startedDeepgram’s announcement Read STT documentationRead TTS documentationRead the voice agents announcementContact Sales for dedicated endpoint deployment and volume pricing8SDeepSeek R1Premium cinematic video generation with native audio and lifelike physics.$2.40Try nowDeepSeek R18SAudio NameAudio DescriptionPlayPause0:000:00Premium cinematic video generation with native audio and lifelike physics.$2.40Try now8SDeepSeek R1Premium cinematic video generation with native audio and lifelike physics.$2.40/video (720p/8s)Try nowPerformance & ScaleBody copy goes here lorem ipsum dolor sit ametBullet point goes here lorem ipsum Bullet point goes here lorem ipsum Bullet point goes here lorem ipsum InfrastructureBest forFaster processing speed (lower overall query latency) and lower operational costsExecution of clearly defined, straightforward tasksFunction calling, JSON mode or other well structured tasksList Item #1Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt.List Item #1Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.Build Benefits included:✔ Up to $15K in free platform credits*✔ 3 hours of free forward-deployed engineering time.Funding: Less than $5MBuild Benefits included:✔ Up to $15K in free platform credits*✔ 3 hours of free forward-deployed engineering time.Funding: Less than $5MBuild Benefits included:✔ Up to $15K in free platform credits*✔ 3 hours of free forward-deployed engineering time.Funding: Less than $5MMultilingualityWord limitDisclaimerJSON formattingUppercase onlyRemove commasThink step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, respond only in Arabic, no other language is allowed. Here is the question:‍Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, respond with less than 860 words. Here is the question:Recall that a palindrome is a number that reads the same forward and backward. Find the greatest integer less than $1000$ that is a palindrome both when written in base ten and when written in base eight, such as $292 = 444_{\\text{eight}}.$Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, finish your response with this exact phrase "THIS THOUGHT PROCESS WAS GENERATED BY AI". No other reasoning words should follow this phrase. Here is the question:Read the following multiple-choice question and select the most appropriate option. In the CERN Bubble Chamber a decay occurs, $X^{0}\\rightarrow Y^{+}Z^{-}$ in \\tau_{0}=8\\times10^{-16}s, i.e. the proper lifetime of X^{0}. What minimum resolution is needed to observe at least 30% of the decays? Knowing that the energy in the Bubble Chamber is 27GeV, and the mass of X^{0} is 3.41GeV.A. 2.08*1e-1 mB. 2.08*1e-9 mC. 2.08*1e-6 mD. 2.08*1e-3 mThink step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, your response should be wrapped in JSON format. You can use markdown ticks such as ```. Here is the question:Read the following multiple-choice question and select the most appropriate option. Trees most likely change the environment in which they are located byA. releasing nitrogen in the soil.B. crowding out non-native species.C. adding carbon dioxide to the atmosphere.D. removing water from the soil and returning it to the atmosphere.Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, your response should be in English and in all capital letters. Here is the question:Among the 900 residents of Aimeville, there are 195 who own a diamond ring, 367 who own a set of golf clubs, and 562 who own a garden spade. In addition, each of the 900 residents owns a bag of candy hearts. There are 437 residents who own exactly two of these things, and 234 residents who own exactly three of these things. Find the number of residents of Aimeville who own all four of these things.Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, refrain from the use of any commas. Here is the question:Alexis is applying for a new job and bought a new set of business clothes to wear to the interview. She went to a department store with a budget of $200 and spent $30 on a button-up shirt, $46 on suit pants, $38 on a suit coat, $11 on socks, and $18 on a belt. She also purchased a pair of shoes, but lost the receipt for them. She has $16 left from her budget. How much did Alexis pay for the shoes?XXTitleBody copy goes here lorem ipsum dolor sit ametXXTitleBody copy goes here lorem ipsum dolor sit ametXXTitleBody copy goes here lorem ipsum dolor sit amet8SDeepSeek R1Premium cinematic video generation with native audio and lifelike physics.$2.40Try nowDeepSeek R18SAudio NameAudio DescriptionPlayPause0:000:00Premium cinematic video generation with native audio and lifelike physics.$2.40Try now8SDeepSeek R1Premium cinematic video generation with native audio and lifelike physics.$2.40/video (720p/8s)Try nowPerformance & ScaleBody copy goes here lorem ipsum dolor sit ametBullet point goes here lorem ipsum Bullet point goes here lorem ipsum Bullet point goes here lorem ipsum InfrastructureBest forFaster processing speed (lower overall query latency) and lower operational costsExecution of clearly defined, straightforward tasksFunction calling, JSON mode or other well structured tasksList Item #1Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt.List Item #1Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.Build Benefits included:✔ Up to $15K in free platform credits*✔ 3 hours of free forward-deployed engineering time.Funding: Less than $5MBuild Benefits included:✔ Up to $15K in free platform credits*✔ 3 hours of free forward-deployed engineering time.Funding: Less than $5MBuild Benefits included:✔ Up to $15K in free platform credits*✔ 3 hours of free forward-deployed engineering time.Funding: Less than $5MMultilingualityWord limitDisclaimerJSON formattingUppercase onlyRemove commasThink step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, respond only in Arabic, no other language is allowed. Here is the question:‍Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, respond with less than 860 words. Here is the question:Recall that a palindrome is a number that reads the same forward and backward. Find the greatest integer less than $1000$ that is a palindrome both when written in base ten and when written in base eight, such as $292 = 444_{\\text{eight}}.$Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, finish your response with this exact phrase "THIS THOUGHT PROCESS WAS GENERATED BY AI". No other reasoning words should follow this phrase. Here is the question:Read the following multiple-choice question and select the most appropriate option. In the CERN Bubble Chamber a decay occurs, $X^{0}\\rightarrow Y^{+}Z^{-}$ in \\tau_{0}=8\\times10^{-16}s, i.e. the proper lifetime of X^{0}. What minimum resolution is needed to observe at least 30% of the decays? Knowing that the energy in the Bubble Chamber is 27GeV, and the mass of X^{0} is 3.41GeV.A. 2.08*1e-1 mB. 2.08*1e-9 mC. 2.08*1e-6 mD. 2.08*1e-3 mThink step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, your response should be wrapped in JSON format. You can use markdown ticks such as ```. Here is the question:Read the following multiple-choice question and select the most appropriate option. Trees most likely change the environment in which they are located byA. releasing nitrogen in the soil.B. crowding out non-native species.C. adding carbon dioxide to the atmosphere.D. removing water from the soil and returning it to the atmosphere.Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, your response should be in English and in all capital letters. Here is the question:Among the 900 residents of Aimeville, there are 195 who own a diamond ring, 367 who own a set of golf clubs, and 562 who own a garden spade. In addition, each of the 900 residents owns a bag of candy hearts. There are 437 residents who own exactly two of these things, and 234 residents who own exactly three of these things. Find the number of residents of Aimeville who own all four of these things.Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, refrain from the use of any commas. Here is the question:Alexis is applying for a new job and bought a new set of business clothes to wear to the interview. She went to a department store with a budget of $200 and spent $30 on a button-up shirt, $46 on suit pants, $38 on a suit coat, $11 on socks, and $18 on a belt. She also purchased a pair of shoes, but lost the receipt for them. She has $16 left from her budget. How much did Alexis pay for the shoes?XXTitleBody copy goes here lorem ipsum dolor sit ametXXTitleBody copy goes here lorem ipsum dolor sit ametXXTitleBody copy goes here lorem ipsum dolor sit amet

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