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Deepgram Nova 2 ATC API: Endpoint & Pricing

Deepgram Nova 2 ATC brings speech-to-text speech-to-text to LLM.API for voice notes, calls, and caption pipelines.

What is Deepgram Nova 2 ATC?

With Deepgram Nova 2 ATC, LLM.API turns audio into text for product voice features. Speech-to-text model by Deepgram. The model id `nova-2-atc` keeps STT alongside your other endpoints.


Can you self-host Deepgram Nova 2 ATC?

No. We found no public weights for Deepgram Nova 2 ATC on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Skip the deploy — use LLM.API as your endpoint

No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, with custom volume discounts on request.

Providers

LLM.API routes Deepgram Nova 2 ATC to the providers below, with discounted effective rates versus list price.

List price by provider

InputOutput
deepgram$0 in
$0 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
deepgramin $0; out — per minute of audio——

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 11 Oct 2026.

Try this model

Test Deepgram Nova 2 ATC right here — free to start.

Deepgram Nova 2 ATC
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Deepgram Nova 2 ATC through the OpenAI-compatible API — STT via LLM.API (see docs for audio endpoints).

Switching from OpenAI? Change 2 lines.

- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"

Everything else stays the same — SDK, message format, tools, streaming. Set model to nova-2-atc and the call runs unchanged.

bash
curl https://api.llmapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nova-2-atc",
    "messages": [
      {"role": "user", "content": "Give me three crisp launch checklist items."}
    ]
  }'
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAPI_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="nova-2-atc",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LLMAPI_KEY,
  baseURL: "https://api.llmapi.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "nova-2-atc",
  messages: [
    { role: "user", content: "Give me three crisp launch checklist items." },
  ],
});

console.log(resp.choices[0].message.content);
stream = client.chat.completions.create(
    model="nova-2-atc",
    messages=[{"role": "user", "content": "Write a haiku about latency."}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)
{
  "model": "nova-2-atc",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID nova-2-atc · OpenAI-compatible.

  • POST /v1/chat/completionsChat Completions — supported
FeatureStatusHow to set it
Function calling (tools)Not supportedtools, tool_choice
Parallel tool callsNot supportedparallel_tool_calls
JSON modeNot supportedresponse_format: {"type": "json_object"}
Structured outputsNot supportedresponse_format: {"type": "json_schema", …}
StreamingNot supportedstream: true
Vision (image input)Not supportedimage_url content parts
Web searchNot supportedweb_search

Errors & fallback routing

CodeWhat it meansWhat to do
401Missing or invalid API key.Send Authorization: Bearer YOUR_LLMAPI_KEY and check the key is active.
429Rate limited, or the upstream provider is throttling the request.Back off and retry with jitter; the gateway also retries the request on another provider where one is available.
5xxUpstream provider error or timeout.Retry; fallback routing sends the retry to the next healthy provider for this model.

When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.

Deepgram Nova 2 ATC in production

What the model is good at.

  • Meeting capture

    Fits voice notes, calls, and meeting recording pipelines.

  • Streaming recognition

    Supports low-latency partial transcripts when the provider offers streaming STT. Relevant for `nova-2-atc` workloads on LLM.API.

  • Compliance archives

    Creates text records of spoken interactions for audit trails. Reflects speech-to-text positioning for this endpoint.

  • Speech transcription

    Converts spoken audio into text for captions, notes, and search.

  • Voice UX input

    Powers voice-driven product interfaces and IVR handoffs. Tuned to how teams typically call Deepgram Nova 2 ATC.

What you get when you call Deepgram Nova 2 ATC through LLM.API.

  • Unified AI Routing

    Production: Reach Deepgram Nova 2 ATC and sibling models through one OpenAI-compatible endpoint.

    One endpoint, every model.
  • Cost Control

    Compare provider price points and keep spend visible as you scale Deepgram Nova 2 ATC.

    More performance, less spend.
  • Reliability Layer

    Production: Retry and route across configured providers when a single upstream blips.

    Never go dark on users.
  • Observability

    Production: Trace prompts, tokens, and errors for Deepgram Nova 2 ATC alongside the rest of your stack.

    See every token, everywhere.
  • Drop-in SDKs

    Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

    Think tasks, not models.
  • Model Breadth

    Production: Swap Deepgram Nova 2 ATC for chat, media, or embedding alternatives without rewriting auth.

    Scale from 1 to millions.

When to Use — When NOT to Use

Use it if...

  • You will pipe transcripts into search or LLM summarization (Deepgram Nova 2 ATC)
  • You need speech-to-text for batch or streaming audio (Deepgram Nova 2 ATC)
  • Voice is a primary input modality in your product (Deepgram Nova 2 ATC)

Avoid if...

  • You require guaranteed perfect transcripts for every accent without evaluation
  • You need text-to-speech or chat generation instead of transcription
  • Your audio cannot leave your compliance boundary and you lack an approved provider path

LLM API rating for Deepgram Nova 2 ATC

★ 2.5/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & value
Estimated from published specs
2.5Production adoptionNot yet tracked — no public usage data for this release
2.8Benchmark qualityNo public Arena rank — scored on declared reasoning support
2.1Developer ecosystemContext window, tool and JSON support, price against the category median
Reasoning & chat 2.5Coding 2.3Voice & audio 2.6
How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

  1. Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
  2. Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
  3. Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

What developers say about speech-to-text models

LMArena—Speed—Sources: LMArena, Artificial Analysis

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Deepgram Nova 2 ATC.

  • Head-to-head tests of the leading APIs land within a point or two of each other; the choice usually comes down to language coverage, streaming latency and batch pricing.
  • Voice-agent developers report streaming latency and endpointing quality matter more in production than headline word-error rates.
  • Whisper-family models remain the default open baseline, with hosted providers winning on real-time features and diarization.

Frequently Asked Questions

  • How is Deepgram Nova 2 ATC priced on LLM.API?

    Listed pricing metadata shows: In $4.3 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • How do I call Deepgram Nova 2 ATC via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "nova-2-atc" and your LLM.API key. See the code snippet on this page.

  • What is the context length for Deepgram Nova 2 ATC?

    Reported context for Deepgram Nova 2 ATC is See provider specs. Always verify the active provider row if multiple providers are listed.

  • Does Deepgram Nova 2 ATC support streaming?

    Streaming depends on the active provider; check the providers table on this page for flags.

  • Where is the canonical page for Deepgram Nova 2 ATC?

    https://llmapi.ai/models/amazon-nova-2-atc/

  • Which providers serve Deepgram Nova 2 ATC?

    LLM.API currently lists: deepgram. Availability can vary by region and account.

  • What is Deepgram Nova 2 ATC?

    Speech-to-text model by Deepgram. On LLM.API it is addressed as `nova-2-atc`.

  • Does Deepgram Nova 2 ATC translate speech?

    Primary behavior is transcription to text. Translation—if needed—should be a separate step with a chat model unless the provider explicitly offers it.

  • When should I choose Deepgram Nova 2 ATC?

    You will pipe transcripts into search or LLM summarization — especially when you specifically need Deepgram Nova 2 ATC.

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