Deepgram Nova 2 Medical
Up to 30%Transcribe speech with Deepgram Nova 2 Medical on LLM.API—batch or streaming audio to text with the same developer surface as your other models.
What is Deepgram Nova 2 Medical?
Deepgram Nova 2 Medical is a speech-to-text model on LLM.API (`nova-2-medical`). Speech-to-text model by Deepgram. Feed audio and receive text transcripts for captions, agents, and searchable archives.
Providers
LLM.API routes Deepgram Nova 2 Medical 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 Medical right here — free to start.
Suggestions for your first prompt
Code snippet
Call Deepgram Nova 2 Medical 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-medical",
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-medical",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}5 Core Capabilities
Voice UX input
Powers voice-driven product interfaces and IVR handoffs. Relevant for `nova-2-medical` workloads on LLM.API.
Speech transcription
Converts spoken audio into text for captions, notes, and search. Reflects speech-to-text positioning for this endpoint.
Downstream LLM prep
Feeds transcripts into summarization and action-item extractors. Grounded in the model's stt role rather than generic chat claims.
Compliance archives
Creates text records of spoken interactions for audit trails. Tuned to how teams typically call Deepgram Nova 2 Medical.
Meeting capture
Fits voice notes, calls, and meeting recording pipelines. Relevant for `nova-2-medical` workloads on LLM.API.
6 Most Valuable Use Cases
- Podcast and video caption drafts with Deepgram Nova 2 Medical
- Compliance recording text archives
- Clinical or field note dictation workflows with Deepgram Nova 2 Medical
- Feeding voice input into LLM agents
- Voice command capture in mobile apps with Deepgram Nova 2 Medical
- Meeting notes and searchable recordings
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 Medical on LLM.API?
Unified AI Routing
Reach Deepgram Nova 2 Medical and sibling models through one OpenAI-compatible endpoint.
Cost Control
Practical: Compare provider price points and keep spend visible as you scale Deepgram Nova 2 Medical.
Reliability Layer
Retry and route across configured providers when a single upstream blips.
Observability
Trace prompts, tokens, and errors for Deepgram Nova 2 Medical alongside the rest of your stack.
Drop-in SDKs
Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Model Breadth
Production: Swap Deepgram Nova 2 Medical for chat, media, or embedding alternatives without rewriting auth.
When to Use — When NOT to Use
Use it if...
- Voice is a primary input modality in your product (Deepgram Nova 2 Medical)
- You will pipe transcripts into search or LLM summarization (Deepgram Nova 2 Medical)
- You need speech-to-text for batch or streaming audio (Deepgram Nova 2 Medical)
Avoid if...
- Your audio cannot leave your compliance boundary and you lack an approved provider path
- You need text-to-speech or chat generation instead of transcription
- You require guaranteed perfect transcripts for every accent without evaluation
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 Medical.
- 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
Does Deepgram Nova 2 Medical 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.
What is Deepgram Nova 2 Medical?
Speech-to-text model by Deepgram. On LLM.API it is addressed as `nova-2-medical`.
Is Deepgram Nova 2 Medical a chat model?
No—Deepgram Nova 2 Medical is categorized as a stt model. Use the matching API surface rather than assuming chat completions.
Where is the canonical page for Deepgram Nova 2 Medical?
https://llmapi.ai/models/amazon-nova-2-medical/
How do I call Deepgram Nova 2 Medical via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "nova-2-medical" and your LLM.API key. See the code snippet on this page.
How is Deepgram Nova 2 Medical 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.
Does Deepgram Nova 2 Medical support streaming?
Streaming depends on the active provider; check the providers table on this page for flags.
Can I use tools or structured outputs with Deepgram Nova 2 Medical?
Tooling support varies; for pure stt models, prefer the modalities listed rather than assuming chat tools.
When should I choose Deepgram Nova 2 Medical?
You need speech-to-text for batch or streaming audio — especially when you specifically need Deepgram Nova 2 Medical.
What is the context length for Deepgram Nova 2 Medical?
Reported context for Deepgram Nova 2 Medical is See provider specs. Always verify the active provider row if multiple providers are listed.
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