Deepgram Base Video API: Endpoint & Pricing
Deepgram Base Video brings speech-to-text speech-to-text to LLM.API for voice notes, calls, and caption pipelines.
What is Deepgram Base Video?
With Deepgram Base Video, LLM.API turns audio into text for product voice features. Speech-to-text model by Deepgram. The model id `base-video` keeps STT alongside your other endpoints.
Can you self-host Deepgram Base Video?
No. We found no public weights for Deepgram Base Video 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 Base Video to the providers below, with discounted effective rates versus list price.
List price by provider
InputOutputProvider list prices; the LLM.API discount applies on top.
| Provider | Pricing | Context | Capabilities |
|---|---|---|---|
| in $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 Base Video right here — free to start.
Suggestions for your first prompt
Code snippet
Call Deepgram Base Video 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 base-video and the call runs unchanged.
curl https://api.llmapi.ai/v1/chat/completions \
-H "Authorization: Bearer $LLMAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "base-video",
"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="base-video",
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: "base-video",
messages: [
{ role: "user", content: "Give me three crisp launch checklist items." },
],
});
console.log(resp.choices[0].message.content);stream = client.chat.completions.create(
model="base-video",
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": "base-video",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}ENDPOINTS
Supported endpoints & features
Base URL https://api.llmapi.ai/v1 · model ID base-video · OpenAI-compatible.
POST /v1/chat/completionsChat Completions — supported
| Feature | Status | How to set it |
|---|---|---|
| Function calling (tools) | Not supported | tools, tool_choice |
| Parallel tool calls | Not supported | parallel_tool_calls |
| JSON mode | Not supported | response_format: {"type": "json_object"} |
| Structured outputs | Not supported | response_format: {"type": "json_schema", …} |
| Streaming | Not supported | stream: true |
| Vision (image input) | Not supported | image_url content parts |
| Web search | Not supported | web_search |
ERRORS
Errors & fallback routing
| Code | What it means | What to do |
|---|---|---|
401 | Missing or invalid API key. | Send Authorization: Bearer YOUR_LLMAPI_KEY and check the key is active. |
429 | Rate 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. |
5xx | Upstream 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 Base Video in production
What the model is good at.
Caption generation
Produces base transcripts for subtitle workflows. Tuned to how teams typically call Deepgram Base Video.
Downstream LLM prep
Feeds transcripts into summarization and action-item extractors. Relevant for `base-video` workloads on LLM.API.
Meeting capture
Fits voice notes, calls, and meeting recording pipelines. Reflects speech-to-text positioning for this endpoint.
Voice UX input
Powers voice-driven product interfaces and IVR handoffs. Grounded in the model's stt role rather than generic chat claims.
Multilingual audio
Handles diverse accents and languages depending on the model. Tuned to how teams typically call Deepgram Base Video.
What you get when you call Deepgram Base Video through LLM.API.
Unified AI Routing
Reach Deepgram Base Video 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 Base Video.
More performance, less spend.Reliability Layer
Production: Retry and route across configured providers when a single upstream blips.
Never go dark on users.Observability
Trace prompts, tokens, and errors for Deepgram Base Video alongside the rest of your stack.
See every token, everywhere.Drop-in SDKs
Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Think tasks, not models.Model Breadth
Production: Swap Deepgram Base Video 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 Base Video)
- Voice is a primary input modality in your product (Deepgram Base Video)
- You need speech-to-text for batch or streaming audio (Deepgram Base Video)
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 Base Video.
- 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
Can I use tools or structured outputs with Deepgram Base Video?
Tooling support varies; for pure stt models, prefer the modalities listed rather than assuming chat tools.
What modalities does Deepgram Base Video support?
Deepgram Base Video accepts audio and produces text according to its architecture metadata on LLM.API.
How do I call Deepgram Base Video via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "base-video" and your LLM.API key. See the code snippet on this page.
How is Deepgram Base Video priced on LLM.API?
Listed pricing metadata shows: In $12.5 / 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.
Is Deepgram Base Video a chat model?
No—Deepgram Base Video is categorized as a stt model. Use the matching API surface rather than assuming chat completions.
Which providers serve Deepgram Base Video?
LLM.API currently lists: deepgram. Availability can vary by region and account.
What is the context length for Deepgram Base Video?
Reported context for Deepgram Base Video is See provider specs. Always verify the active provider row if multiple providers are listed.
When should I choose Deepgram Base Video?
You will pipe transcripts into search or LLM summarization — especially when you specifically need Deepgram Base Video.
What is Deepgram Base Video?
Speech-to-text model by Deepgram. On LLM.API it is addressed as `base-video`.
COMPARE
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