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NVIDIA / nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B

Nemotron 3.5 Transcribe 30B A4B

A speech model for transcription in 40 languages, translation and speaker diarization. It accepts audio and text and returns text. The model card reports 34B total parameters and 4.3B active including the audio encoder; the 30B name identifies its language backbone.

01 / SUMMARY

The essential

ORIENTATIONMultilingual transcription and diarization

Primary use stated or inferred cautiously from official documentation.

CONTEXT65,536 tokens; recordings up to one hour

Maximum input capacity when published by the source.

EXITNot published

Documented maximum generation limit.

ACCESSHugging Face · downloadable checkpoint

Verified availability channels.

MODEL TYPEVoice and audio

Primary functional family and verified specialties.

LICENSEOpenMDW 1.1

Declared terms for API access, model weights, or self-hosting.

02 / TECHNICAL SHEET

Limits and integration

API IDnvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B
Model typeVoice and audio
Access modelOpen weights
LicenseOpenMDW 1.1
DeploymentSelf-hosted
Release28 OCT 2026
Knowledge cutoffNot published
EntranceAudio · Text
ExitText
Context window65,536 tokens; recordings up to one hour
maximum outputNot published
ReasoningConfigurable; disabled for transcription in the recommended protocol
Published tools
Structured OutingsText with speaker labels and optional word-level timestamps
Batch processingNot published
Prompt cacheNot published
Fine-tuningNot published
Verified platformsHugging Face · NeMo Speech · vLLM · Transformers
BEST SUITED FOR

Process authorized recordings, meetings and media files, adapting vocabulary and transcription style through instructions.

WORTH MONITORING

This is an offline model, not a streaming ASR service. Support varies by language and task; audio understanding was evaluated only in English. Speaker labels do not identify people. Check consent, sensitive data and transcription errors.

03 / CAPABILITIES

What it can do

01

Orientation

Process authorized recordings, meetings and media files, adapting vocabulary and transcription style through instructions.

02

Context

65,536 tokens; recordings up to one hour · Not published

03

Tools and integration

Not published

04

Access

Hugging Face · downloadable checkpoint

Input modalities
AudioText
04 / PRICES

Documented cost

ConceptWorthUnit/condition
Standard inputNo published official API rateStandard API rate
Cached inputNot publishedReading reused prefixes
Cache write or storageNot publishedThe condition varies by provider
Standard outputSelf-hosted infrastructure costMay include reasoning tokens
Batch inputNot publishedAsynchronous processing
Batch outputNot publishedAsynchronous processing

The BF16 checkpoint declares OpenMDW 1.1. The card describes FP8 and NVFP4, but their public downloads could not be verified. No commercial per-token pricing has been verified. Budget for GPU, memory and operation.

i Prices change and may depend on level, region or context length. Check the source before making a decision.

05 / EVALUATIONS

How to read the results

“

The evaluation separates transcription WER from speaker-attributed cpWER. Accelerated NIM performance with NVFP4 and DFlash2 does not describe the open reference server or arbitrary GPUs. October 28 is the release date; October 12 is when results were captured.

BenchmarkResultMetricSource
Open ASR Leaderboard English · 9 public sets4,71 %WER (%) · lower is betterView source ↗
Open ASR Leaderboard multilingual · 7 languages4,62 %WER (%) · lower is betterView source ↗
Open ASR Leaderboard long-form10,98 %WER (%) · lower is betterView source ↗
AMI + CALLHOME + Mixer 6 + NOTSOFAR-1 · full sessions15,80 %cpWER (%) · lower is betterView source ↗

Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.

06 / VERSIONS

Chronology

Nemotron 3.5 Transcribe 30B A4B

Version added to Inferama's verified catalog.

07 / SOURCES

Traceability