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AssemblyAI Universal-3 Pro

Up to 30%

AssemblyAI Universal-3 Pro brings speech-to-text speech-to-text to LLM.API for voice notes, calls, and caption pipelines.

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What is AssemblyAI Universal-3 Pro?

With AssemblyAI Universal-3 Pro, LLM.API turns audio into text for product voice features. Speech-to-text model by Assemblyai. The model id `universal-3-pro` keeps STT alongside your other endpoints.

Providers

LLM.API routes AssemblyAI Universal-3 Pro to the providers below, with discounted effective rates versus list price.

ProviderPricingContextCapabilities
assemblyai30% offin $0.0035; out — per minute of audio——

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

Try this model

Test AssemblyAI Universal-3 Pro right here — free to start.

AssemblyAI Universal-3 Pro
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Suggestions for your first prompt

Code snippet

Call AssemblyAI Universal-3 Pro 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="universal-3-pro",
    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": "universal-3-pro",
  "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. Grounded in the model's stt role rather than generic chat claims.

  • Voice UX input

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

  • Multilingual audio

    Handles diverse accents and languages depending on the model. Reflects speech-to-text positioning for this endpoint.

  • Meeting capture

    Fits voice notes, calls, and meeting recording pipelines. Grounded in the model's stt role rather than generic chat claims.

  • Compliance archives

    Creates text records of spoken interactions for audit trails.

6 Most Valuable Use Cases

  • Feeding voice input into LLM agents with AssemblyAI Universal-3 Pro
  • Clinical or field note dictation workflows
  • Voice command capture in mobile apps with AssemblyAI Universal-3 Pro
  • Podcast and video caption drafts
  • Meeting notes and searchable recordings with AssemblyAI Universal-3 Pro
  • 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 AssemblyAI Universal-3 Pro on LLM.API?

  • Unified AI Routing

    Reach AssemblyAI Universal-3 Pro and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Compare provider price points and keep spend visible as you scale AssemblyAI Universal-3 Pro.

  • Reliability Layer

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

  • Observability

    Practical: Trace prompts, tokens, and errors for AssemblyAI Universal-3 Pro 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

    Practical: Swap AssemblyAI Universal-3 Pro for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • You need speech-to-text for batch or streaming audio (AssemblyAI Universal-3 Pro)
  • Voice is a primary input modality in your product (AssemblyAI Universal-3 Pro)
  • You will pipe transcripts into search or LLM summarization (AssemblyAI Universal-3 Pro)

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 AssemblyAI Universal-3 Pro.

  • 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 AssemblyAI Universal-3 Pro?

    Speech-to-text model by Assemblyai. On LLM.API it is addressed as `universal-3-pro`.

  • What are limitations of AssemblyAI Universal-3 Pro?

    Like other API models, AssemblyAI Universal-3 Pro can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

  • Can I use tools or structured outputs with AssemblyAI Universal-3 Pro?

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

  • What is the context length for AssemblyAI Universal-3 Pro?

    Reported context for AssemblyAI Universal-3 Pro is See provider specs. Always verify the active provider row if multiple providers are listed.

  • How do I call AssemblyAI Universal-3 Pro via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "universal-3-pro" and your LLM.API key. See the code snippet on this page.

  • What modalities does AssemblyAI Universal-3 Pro support?

    AssemblyAI Universal-3 Pro accepts audio and produces text according to its architecture metadata on LLM.API.

  • Which providers serve AssemblyAI Universal-3 Pro?

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

  • Where is the canonical page for AssemblyAI Universal-3 Pro?

    https://llmapi.ai/models/universal-3-pro/

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