That's NeuralModel catalog

assemblyai

AssemblyAI: Universal-3.6 Pro

assemblyai/universal-3-6-pro

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter lists assemblyai/universal-3-6-pro as AssemblyAI's Universal-3.6 Pro, an audio-to-transcription speech-to-text model served through AssemblyAI's Sync API and described as the successor to Universal-3.5 Pro. AssemblyAI reports fewer errors than that predecessor on short conversational material, but the supplied evidence is catalog-only and includes no independent model card or measured benchmark results. Treat the performance claim as vendor-reported and validate accuracy, latency, and workflow fit on representative audio before adoption.[1]

Strengths

  • The catalog identifies audio input and transcription output for speech-to-text use.[1]
  • AssemblyAI describes it as the successor to Universal-3.5 Pro and offers it through the Sync API.[1]
  • AssemblyAI reports fewer errors than the prior version on short conversational material; this is not independently measured.[1]

Limitations

  • The source pack contains only an OpenRouter catalog entry; an independent model card was not available.[1]
  • No independent benchmarks or broad accuracy measurements are supplied, so real-world performance remains unverified.[1]
  • The evidence does not document language coverage, speaker diarization, timestamps, or operational constraints.[1]

Where to use it

  • Consider for short conversational transcription where the vendor-reported improvement is relevant.[1]
  • Potentially suitable for applications needing audio-to-transcription requests through AssemblyAI's Sync API.[1]
  • A pilot candidate for speech-to-text pipelines validated on representative recordings.[1]

Sources

  1. [1] OpenRouter catalog · AssemblyAI: Universal-3.6 ProSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Universal-3.6 Pro is AssemblyAI's speech-to-text model and the successor to Universal-3.5 Pro, served here through AssemblyAI's Sync API. Compared with Universal-3.5 Pro, AssemblyAI reports 30% fewer errors on short conversational...

Specifications

Model ID
assemblyai/universal-3-6-pro
Canonical ID
assemblyai/universal-3-6-pro-20261014
Creator
assemblyai
Added to OpenRouter
14.10.2026
Context length
0
Modality
audio->transcription
Input modalities
audio
Output modalities
transcription
Token pricing
No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff
—
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurement—
CodingNo measurement—
AgentsNo measurement—
WritingNo measurement—
ReasoningNo measurement—
Document analysisNo measurement—
VisionNo measurement—
Image generationNo measurement—
AudioNo measurementinput: audio
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
AssemblyAI0————100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.