Deepgram Enhanced Meeting
Up to 30%Deepgram Enhanced Meeting brings speech-to-text speech-to-text to LLM.API for voice notes, calls, and caption pipelines.
What is Deepgram Enhanced Meeting?
Deepgram Enhanced Meeting is a speech-to-text model on LLM.API (`enhanced-meeting`). Speech-to-text model by Deepgram. Feed audio and receive text transcripts for captions, agents, and searchable archives.
Providers
LLM.API routes Deepgram Enhanced Meeting to the providers below, with discounted effective rates versus list price.
| Provider | Pricing | Context | Capabilities |
|---|---|---|---|
| in $0.0145; out — per minute of audio | — | — |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.
Try this model
Test Deepgram Enhanced Meeting right here — free to start.
Suggestions for your first prompt
Code snippet
Call Deepgram Enhanced Meeting 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="enhanced-meeting",
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": "enhanced-meeting",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}5 Core Capabilities
Streaming recognition
Supports low-latency partial transcripts when the provider offers streaming STT.
Meeting capture
Fits voice notes, calls, and meeting recording pipelines. Reflects speech-to-text positioning for this endpoint.
Caption generation
Produces base transcripts for subtitle workflows.
Speech transcription
Converts spoken audio into text for captions, notes, and search. Reflects speech-to-text positioning for this endpoint.
Multilingual audio
Handles diverse accents and languages depending on the model. Tuned to how teams typically call Deepgram Enhanced Meeting.
6 Most Valuable Use Cases
- Clinical or field note dictation workflows with Deepgram Enhanced Meeting
- Meeting notes and searchable recordings
- Voice command capture in mobile apps with Deepgram Enhanced Meeting
- Compliance recording text archives
- Live captioning prototypes with Deepgram Enhanced Meeting
- Feeding voice input into LLM agents
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 Enhanced Meeting on LLM.API?
Unified AI Routing
Reach Deepgram Enhanced Meeting and sibling models through one OpenAI-compatible endpoint.
Cost Control
Compare provider price points and keep spend visible as you scale Deepgram Enhanced Meeting.
Reliability Layer
Practical: Retry and route across configured providers when a single upstream blips.
Observability
Practical: Trace prompts, tokens, and errors for Deepgram Enhanced Meeting alongside the rest of your stack.
Drop-in SDKs
Practical: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Model Breadth
Swap Deepgram Enhanced Meeting 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 Enhanced Meeting)
- You need speech-to-text for batch or streaming audio (Deepgram Enhanced Meeting)
- You will pipe transcripts into search or LLM summarization (Deepgram Enhanced Meeting)
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 Enhanced Meeting.
- 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
What are limitations of Deepgram Enhanced Meeting?
Like other API models, Deepgram Enhanced Meeting 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 Enhanced Meeting?
https://llmapi.ai/models/enhanced-meeting/
Can I use tools or structured outputs with Deepgram Enhanced Meeting?
Tooling support varies; for pure stt models, prefer the modalities listed rather than assuming chat tools.
What is Deepgram Enhanced Meeting?
Speech-to-text model by Deepgram. On LLM.API it is addressed as `enhanced-meeting`.
Does Deepgram Enhanced Meeting 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.
Which providers serve Deepgram Enhanced Meeting?
LLM.API currently lists: deepgram. Availability can vary by region and account.
How do I call Deepgram Enhanced Meeting via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "enhanced-meeting" and your LLM.API key. See the code snippet on this page.
How is Deepgram Enhanced Meeting priced on LLM.API?
Listed pricing metadata shows: In $14.5 / 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 modalities does Deepgram Enhanced Meeting support?
Deepgram Enhanced Meeting accepts audio and produces text according to its architecture metadata on LLM.API.
Is Deepgram Enhanced Meeting a chat model?
No—Deepgram Enhanced Meeting is categorized as a stt model. Use the matching API surface rather than assuming chat completions.
What is the context length for Deepgram Enhanced Meeting?
Reported context for Deepgram Enhanced Meeting is See provider specs. Always verify the active provider row if multiple providers are listed.
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