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Deepgram Flux (Multilingual)

Up to 30%

Transcribe speech with Deepgram Flux (Multilingual) on LLM.API—batch or streaming audio to text with the same developer surface as your other models.

Start Using API

What is Deepgram Flux (Multilingual)?

With Deepgram Flux (Multilingual), LLM.API turns audio into text for product voice features. Streaming speech-to-text model by Deepgram. The model id `flux-general-multi` keeps STT alongside your other endpoints.

Providers

LLM.API routes Deepgram Flux (Multilingual) to the providers below, with discounted effective rates versus list price.

ProviderPricingContextCapabilities
deepgram30% offin $0.0092; out — per minute of audio——

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

Try this model

Test Deepgram Flux (Multilingual) right here — free to start.

Deepgram Flux (Multilingual)
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Suggestions for your first prompt

Code snippet

Call Deepgram Flux (Multilingual) 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="flux-general-multi",
    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": "flux-general-multi",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Voice UX input

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

  • Downstream LLM prep

    Feeds transcripts into summarization and action-item extractors. Reflects streaming speech-to-text positioning for this endpoint.

  • Meeting capture

    Fits voice notes, calls, and meeting recording pipelines. Reflects streaming speech-to-text positioning for this endpoint.

  • Compliance archives

    Creates text records of spoken interactions for audit trails.

  • Streaming recognition

    Supports low-latency partial transcripts when the provider offers streaming STT. Tuned to how teams typically call Deepgram Flux (Multilingual).

6 Most Valuable Use Cases

  • Feeding voice input into LLM agents with Deepgram Flux (Multilingual)
  • Call-center transcription and QA
  • Voice command capture in mobile apps with Deepgram Flux (Multilingual)
  • Clinical or field note dictation workflows
  • Compliance recording text archives with Deepgram Flux (Multilingual)
  • 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 Flux (Multilingual) on LLM.API?

  • Unified AI Routing

    Reach Deepgram Flux (Multilingual) and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Compare provider price points and keep spend visible as you scale Deepgram Flux (Multilingual).

  • Reliability Layer

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

  • Observability

    Practical: Trace prompts, tokens, and errors for Deepgram Flux (Multilingual) alongside the rest of your stack.

  • Drop-in SDKs

    Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

  • Model Breadth

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

Avoid if...

  • You need text-to-speech or chat generation instead of transcription
  • You require guaranteed perfect transcripts for every accent without evaluation
  • 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 Flux (Multilingual).

  • 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 is Deepgram Flux (Multilingual)?

    Streaming speech-to-text model by Deepgram. On LLM.API it is addressed as `flux-general-multi`.

  • Is Deepgram Flux (Multilingual) a chat model?

    No—Deepgram Flux (Multilingual) is categorized as a stt model. Use the matching API surface rather than assuming chat completions.

  • Does Deepgram Flux (Multilingual) support streaming?

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

  • How do I call Deepgram Flux (Multilingual) via API?

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

  • When should I choose Deepgram Flux (Multilingual)?

    You will pipe transcripts into search or LLM summarization — especially when you specifically need Deepgram Flux (Multilingual).

  • What are limitations of Deepgram Flux (Multilingual)?

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

  • What modalities does Deepgram Flux (Multilingual) support?

    Deepgram Flux (Multilingual) accepts audio and produces text according to its architecture metadata on LLM.API.

  • Can I use tools or structured outputs with Deepgram Flux (Multilingual)?

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

  • Which providers serve Deepgram Flux (Multilingual)?

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

  • What is the context length for Deepgram Flux (Multilingual)?

    Reported context for Deepgram Flux (Multilingual) is See provider specs. Always verify the active provider row if multiple providers are listed.

  • Does Deepgram Flux (Multilingual) 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.

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