Bonus: Top up now and we'll double your first deposit — get x2 credits instantly.

Deepgram Base Finance

Up to 30%

Deepgram Base Finance brings speech-to-text speech-to-text to LLM.API for voice notes, calls, and caption pipelines.

What is Deepgram Base Finance?

Deepgram Base Finance is a speech-to-text model on LLM.API (`base-finance`). Speech-to-text model by Deepgram. Feed audio and receive text transcripts for captions, agents, and searchable archives.


Providers

LLM.API routes Deepgram Base Finance to the providers below, with discounted effective rates versus list price.

ProviderPricingContextCapabilities
deepgram30% offin $0.0125; out — per minute of audio

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.

Try this model

Test Deepgram Base Finance right here — free to start.

Deepgram Base Finance
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Deepgram Base Finance 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="base-finance",
    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": "base-finance",
  "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. Relevant for `base-finance` workloads on LLM.API.

  • Voice UX input

    Powers voice-driven product interfaces and IVR handoffs. Relevant for `base-finance` workloads on LLM.API.

  • Compliance archives

    Creates text records of spoken interactions for audit trails. Tuned to how teams typically call Deepgram Base Finance.

  • Downstream LLM prep

    Feeds transcripts into summarization and action-item extractors. Relevant for `base-finance` workloads on LLM.API.

  • Speech transcription

    Converts spoken audio into text for captions, notes, and search. Tuned to how teams typically call Deepgram Base Finance.

6 Most Valuable Use Cases

  • Meeting notes and searchable recordings with Deepgram Base Finance
  • Clinical or field note dictation workflows
  • Feeding voice input into LLM agents with Deepgram Base Finance
  • Live captioning prototypes
  • Voice command capture in mobile apps with Deepgram Base Finance
  • 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 Base Finance on LLM.API?

  • Unified AI Routing

    Reach Deepgram Base Finance and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Compare provider price points and keep spend visible as you scale Deepgram Base Finance.

  • Reliability Layer

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

  • Observability

    Trace prompts, tokens, and errors for Deepgram Base Finance 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 Base Finance 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 Base Finance)
  • You will pipe transcripts into search or LLM summarization (Deepgram Base Finance)
  • You need speech-to-text for batch or streaming audio (Deepgram Base Finance)

Avoid if...

  • 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
  • You require guaranteed perfect transcripts for every accent without evaluation

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 Finance.

  • 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.

Frequently Asked Questions

  • What is Deepgram Base Finance?

    Speech-to-text model by Deepgram. On LLM.API it is addressed as `base-finance`.

  • What modalities does Deepgram Base Finance support?

    Deepgram Base Finance accepts audio and produces text according to its architecture metadata on LLM.API.

  • Does Deepgram Base Finance support streaming?

    Streaming depends on the active provider; check the providers table on this page for flags.

  • Which providers serve Deepgram Base Finance?

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

  • Does Deepgram Base Finance 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.

  • How is Deepgram Base Finance 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 Finance a chat model?

    No—Deepgram Base Finance is categorized as a stt model. Use the matching API surface rather than assuming chat completions.

  • What is the context length for Deepgram Base Finance?

    Reported context for Deepgram Base Finance is See provider specs. Always verify the active provider row if multiple providers are listed.

  • What are limitations of Deepgram Base Finance?

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

  • How do I call Deepgram Base Finance via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "base-finance" and your LLM.API key. See the code snippet on this page.

  • Can I use tools or structured outputs with Deepgram Base Finance?

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

  • When should I choose Deepgram Base Finance?

    You need speech-to-text for batch or streaming audio — especially when you specifically need Deepgram Base Finance.

Get one key to every model

Swap your API key. Keep your code.