Nemotron 3.5 Transcribe on DeepInfra

Nemotron 3.5 · NVIDIA AI

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Open Weights

Last refreshed 2026-10-29. Next refresh: weekly.

Why use Nemotron 3.5 Transcribe on DeepInfra?

DeepInfra offers Nemotron 3.5 Transcribe with pay-as-you-go pricing at $0.002/minute. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.

Compare Nemotron 3.5 Transcribe across 2 providers to find the best fit for your use case
Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export DEEPINFRA_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["DEEPINFRA_API_KEY"],
Model ID
nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B

Request example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["DEEPINFRA_API_KEY"],
    base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
    model="nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B", not the LLMReference slug "nemotron-3.5-transcribe".
  • DeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
  • The examples expect DEEPINFRA_API_KEY; rename it only if your application config maps the new variable.

Compare Nemotron 3.5 Transcribe Across Providers

ProviderInput (per 1M)Output (per 1M)
DeepInfra——
OpenRouter——

Pricing

TypeRate
Audio minute$0.002/min

Capabilities

MultimodalAudio

About Nemotron 3.5 Transcribe

Nemotron 3.5 Transcribe is NVIDIA's open-weight, promptable speech model: a mixture-of-experts model with 34B total and 4.3B active parameters (including the audio encoder) that does transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding in one checkpoint. It handles recordings up to one hour (65,536-token context) and is released under the OpenMDW 1.1 license for commercial or non-commercial use.

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Model Specs

Released2026-10-28
Parameters34B (4.3B active)
Context64K
ArchitectureMixture of Experts