Deepgram Nova 2 ATC
Up to 30%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.
Providers
LLM.API routes Deepgram Nova 2 ATC to the providers below, with discounted effective rates versus list price.
| Provider | Pricing | Context | Capabilities |
|---|---|---|---|
| in $0.0043; out — per minute of audio | — | — |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.
Try this model
Test Deepgram Nova 2 ATC right here — free to start.
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).
from openai import OpenAI
client = OpenAI(
api_key="YOUR_LLMAP_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){
"model": "nova-2-atc",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}5 Core Capabilities
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.
6 Most Valuable Use Cases
- Clinical or field note dictation workflows with Deepgram Nova 2 ATC
- Feeding voice input into LLM agents
- Voice command capture in mobile apps with Deepgram Nova 2 ATC
- Compliance recording text archives
- Live captioning prototypes with Deepgram Nova 2 ATC
- Call-center transcription and QA
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Intelligent AI Routing
Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.
One endpoint, every model. -
Cost-Aware Execution
Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.
More performance, less spend. -
Resilient Fallback Flows
Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.
Never go dark on users. -
Deep LLM Observability
Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.
See every token, everywhere. -
Task-Level Orchestration
Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.
Think tasks, not models. -
High-Throughput Batch APIs
Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.
Scale from 1 to millions.
Why run Deepgram Nova 2 ATC on LLM.API?
Unified AI Routing
Production: Reach Deepgram Nova 2 ATC and sibling models through one OpenAI-compatible endpoint.
Cost Control
Compare provider price points and keep spend visible as you scale Deepgram Nova 2 ATC.
Reliability Layer
Production: Retry and route across configured providers when a single upstream blips.
Observability
Production: Trace prompts, tokens, and errors for Deepgram Nova 2 ATC alongside the rest of your stack.
Drop-in SDKs
Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Model Breadth
Production: Swap Deepgram Nova 2 ATC for chat, media, or embedding alternatives without rewriting auth.
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
COMMUNITY
What developers say about speech-to-text models
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.
SOURCES
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.
Get one key to every model
Swap your API key. Keep your code.