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Latest Release
Universal 3.5 Pro
Our new flagship speech-to-text model handles real-world audio the way it actually happens. Available for real-time and pre-recorded audio.
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One OpenAI-compatible API for every frontier model—built to run right alongside your speech-to-text.
Your LLM calls run in the same pipeline as your transcription. Apply any model to your audio with no second vendor and no extra network hop.
Pay provider token rates with no gateway fee, no credit surcharge, and no minimum commitment. The price you see is the price you pay.
Configure per-request fallbacks across providers. When a model errors or rate-limits, your call transparently retries the next one—no code changes.
36%
improvement in close rate
“The new Universal-3.5 Pro speech model from AssemblyAI is best so far in terms of accuracy, latency, and language switching.”
80%
increase in customer satisfaction
“Assembly has saved us countless hours managing models, and provided exceptional accuracy.”
36%
improvement in close rate
“The new Universal-3.5 Pro speech model from AssemblyAI is best so far in terms of accuracy, latency, and language switching.”
80%
increase in customer satisfaction
“Assembly has saved us countless hours managing models, and provided exceptional accuracy.”
The same transcript, four different jobs, four different models — all routed through one endpoint.
What is runner's knee?
Based on the transcript, runner's knee is a condition characterized by pain behind or around the kneecap. It is caused by overuse, muscle imbalance and inadequate stretching. Symptoms include pain under or around the kneecap and pain when walking.
Summarize this call in three bullet points
• Caller reports persistent knee pain after long runs. • Clinician identifies likely runner's knee from overuse and weak hip stabilizers. • Recommended next steps: rest, ice, targeted glute and quad strengthening.
Extract symptoms, conditions, and recommended treatments as JSON.
{ "condition": "runner's knee", "symptoms": ["kneecap pain", "pain when walking"], "causes": ["overuse", "muscle imbalance", "inadequate stretching"], "treatments": ["rest", "ice", "strengthening"] }
Write a 2-sentence patient follow-up email summarizing the visit.
Hi — thanks for coming in today. As we discussed, your knee pain is consistent with patellofemoral pain syndrome (runner's knee), and I'd recommend two weeks of reduced mileage along with the strengthening routine I sent over.
GPT, Claude, Gemini, Qwen, Mistral, and more behind one endpoint. New models are added the day they launch.
Drop into any OpenAI SDK or HTTP client. Change a base URL and a model string, and the rest of your code keeps working.
Tool calls and schema-enforced JSON out of the box, so model responses drop straight into your app.
Cached prompts cost less and respond faster on every turn of a conversation.
EU-resident infrastructure, on by default for traffic originating in the EU, for GDPR-sensitive workloads.
Opt into zero data retention per request or project-wide, so prompts and responses are never stored.
Sign a Business Associate Addendum for applications that process PHI, backed by SOC 2 Type 2, ISO 27001, PCI DSS, and GDPR.
Run your entire voice-to-intelligence pipeline—speech-to-text and LLMs—on a single API key and invoice.
Create a free account, point your OpenAI SDK at the Gateway, and start calling any frontier model. Already using AssemblyAI speech-to-text? It's the same API key.
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