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Deepgram Nova 2 Phone Call

Up to 30%

Transcribe speech with Deepgram Nova 2 Phone Call on LLM.API—batch or streaming audio to text with the same developer surface as your other models.

Start Using API

What is Deepgram Nova 2 Phone Call?

Deepgram Nova 2 Phone Call is a speech-to-text model on LLM.API (`nova-2-phonecall`). 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 Phone Call to the providers below, with discounted effective rates versus list price.

ProviderPricingContextCapabilities
deepgram30% offin $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 Phone Call right here — free to start.

Deepgram Nova 2 Phone Call
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

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

python
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-phonecall",
    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-phonecall",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Multilingual audio

    Handles diverse accents and languages depending on the model. Relevant for `nova-2-phonecall` workloads on LLM.API.

  • Voice UX input

    Powers voice-driven product interfaces and IVR handoffs. Reflects speech-to-text positioning for this endpoint.

  • Caption generation

    Produces base transcripts for subtitle workflows. Reflects speech-to-text positioning for this endpoint.

  • Meeting capture

    Fits voice notes, calls, and meeting recording pipelines.

  • Speech transcription

    Converts spoken audio into text for captions, notes, and search. Grounded in the model's stt role rather than generic chat claims.

6 Most Valuable Use Cases

  • Compliance recording text archives with Deepgram Nova 2 Phone Call
  • Call-center transcription and QA
  • Meeting notes and searchable recordings with Deepgram Nova 2 Phone Call
  • Voice command capture in mobile apps
  • Clinical or field note dictation workflows with Deepgram Nova 2 Phone Call
  • Live captioning prototypes

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 Phone Call on LLM.API?

  • Unified AI Routing

    Practical: Reach Deepgram Nova 2 Phone Call and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Production: Compare provider price points and keep spend visible as you scale Deepgram Nova 2 Phone Call.

  • Reliability Layer

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

  • Observability

    Practical: Trace prompts, tokens, and errors for Deepgram Nova 2 Phone Call 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

    Swap Deepgram Nova 2 Phone Call 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 Phone Call)
  • You need speech-to-text for batch or streaming audio (Deepgram Nova 2 Phone Call)
  • Voice is a primary input modality in your product (Deepgram Nova 2 Phone Call)

Avoid if...

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

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 Phone Call.

  • 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

  • Which providers serve Deepgram Nova 2 Phone Call?

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

  • How is Deepgram Nova 2 Phone Call 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.

  • What are limitations of Deepgram Nova 2 Phone Call?

    Like other API models, Deepgram Nova 2 Phone Call can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

  • Where is the canonical page for Deepgram Nova 2 Phone Call?

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

  • When should I choose Deepgram Nova 2 Phone Call?

    You need speech-to-text for batch or streaming audio — especially when you specifically need Deepgram Nova 2 Phone Call.

  • What modalities does Deepgram Nova 2 Phone Call support?

    Deepgram Nova 2 Phone Call accepts audio and produces text according to its architecture metadata on LLM.API.

  • What is Deepgram Nova 2 Phone Call?

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

  • Can I use tools or structured outputs with Deepgram Nova 2 Phone Call?

    Tooling support varies; for pure stt models, prefer the modalities listed rather than assuming chat tools.

  • Is Deepgram Nova 2 Phone Call a chat model?

    No—Deepgram Nova 2 Phone Call is categorized as a stt model. Use the matching API surface rather than assuming chat completions.

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