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Deepgram Enhanced Finance API: Endpoint & Pricing

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

What is Deepgram Enhanced Finance?

With Deepgram Enhanced Finance, LLM.API turns audio into text for product voice features. Speech-to-text model by Deepgram. The model id `enhanced-finance` keeps STT alongside your other endpoints.


Can you self-host Deepgram Enhanced Finance?

No. We found no public weights for Deepgram Enhanced Finance 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, up to 30% below list price.

Providers

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

List price by provider

InputOutput
deepgram$0 in
$0 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
deepgramin $0; out — per minute of audio——

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 8 Oct 2026.

Try this model

Test Deepgram Enhanced Finance right here — free to start.

Deepgram Enhanced Finance
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Deepgram Enhanced Finance 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 enhanced-finance and the call runs unchanged.

bash
curl https://api.llmapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "enhanced-finance",
    "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="enhanced-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)
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: "enhanced-finance",
  messages: [
    { role: "user", content: "Give me three crisp launch checklist items." },
  ],
});

console.log(resp.choices[0].message.content);
stream = client.chat.completions.create(
    model="enhanced-finance",
    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": "enhanced-finance",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID enhanced-finance · OpenAI-compatible.

  • POST /v1/chat/completionsChat Completions — supported
FeatureStatusHow to set it
Function calling (tools)Not supportedtools, tool_choice
Parallel tool callsNot supportedparallel_tool_calls
JSON modeNot supportedresponse_format: {"type": "json_object"}
Structured outputsNot supportedresponse_format: {"type": "json_schema", …}
StreamingNot supportedstream: true
Vision (image input)Not supportedimage_url content parts
Web searchNot supportedweb_search

Errors & fallback routing

CodeWhat it meansWhat to do
401Missing or invalid API key.Send Authorization: Bearer YOUR_LLMAPI_KEY and check the key is active.
429Rate 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.
5xxUpstream 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 Enhanced Finance in production

What the model is good at.

  • Speech transcription

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

  • Caption generation

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

  • Downstream LLM prep

    Feeds transcripts into summarization and action-item extractors.

  • Meeting capture

    Fits voice notes, calls, and meeting recording pipelines.

  • Compliance archives

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

What you get when you call Deepgram Enhanced Finance through LLM.API.

  • Unified AI Routing

    Production: Reach Deepgram Enhanced Finance and sibling models through one OpenAI-compatible endpoint.

    One endpoint, every model.
  • Cost Control

    Production: Compare provider price points and keep spend visible as you scale Deepgram Enhanced Finance.

    More performance, less spend.
  • Reliability Layer

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

    Never go dark on users.
  • Observability

    Production: Trace prompts, tokens, and errors for Deepgram Enhanced Finance 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 Enhanced Finance 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 Enhanced Finance)
  • Voice is a primary input modality in your product (Deepgram Enhanced Finance)
  • You need speech-to-text for batch or streaming audio (Deepgram Enhanced Finance)

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

LLM API rating for Deepgram Enhanced Finance

★ 2.4/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & value
Estimated from published specs
2.5Production adoptionNot yet tracked — no public usage data for this release
2.8Benchmark qualityNo public Arena rank — scored on declared reasoning support
1.4Developer ecosystemContext window, tool and JSON support, price against the category median
Reasoning & chat 2.4Coding 2.2Voice & audio 2.4
How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

  1. Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
  2. Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
  3. Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

What developers say about speech-to-text models

LMArena—Speed—Sources: LMArena, Artificial Analysis

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 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 are limitations of Deepgram Enhanced Finance?

    Like other API models, Deepgram Enhanced 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.

  • When should I choose Deepgram Enhanced Finance?

    You will pipe transcripts into search or LLM summarization — especially when you specifically need Deepgram Enhanced Finance.

  • How do I call Deepgram Enhanced Finance via API?

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

  • Does Deepgram Enhanced Finance support streaming?

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

  • Is Deepgram Enhanced Finance a chat model?

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

  • What is the context length for Deepgram Enhanced Finance?

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

  • Where is the canonical page for Deepgram Enhanced Finance?

    https://llmapi.ai/models/enhanced-finance/

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

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

  • What is Deepgram Enhanced Finance?

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

  • What modalities does Deepgram Enhanced Finance support?

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

  • How is Deepgram Enhanced Finance 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.

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