Nextbit Inference

Nextbit Inference

NEXTBIT 256, S.L.
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About

NVIDIA Nemotron 3.5 Transcribe is an open-weight speech and audio model for developers building transcription and audio-processing systems. It converts recordings into text and supports verbatim or edited transcription, contextual vocabulary, speaker attribution, word-level timestamps, speech translation, language identification, and audio question answering. Its language matrix covers 40 languages, with task coverage varying by language. The model can process recordings up to one hour and is designed for offline inference using compatible NVIDIA GPU hardware and supported runtimes. Teams can integrate it into speech interfaces, meeting and media processing, customer-service analytics, translation tools, and other audio-understanding applications. Model weights and a fine-tuning toolkit are released under the OpenMDW-1.1 license; hardware and serving requirements depend on deployment.

About

Nextbit Inference hosts open-weight AI models behind API endpoints compatible with OpenAI and Anthropic request formats. Developers can select from a model catalog and invoke models through established client libraries, with token-based pricing. Service options include shared serverless inference and dedicated single-tenant endpoints with reserved capacity. Nextbit also offers model fine-tuning and deployment for fine-tuned or customer-provided models. It serves AI and machine-learning engineers building applications, agents, and production inference workflows. Customers can choose EU or global endpoints, and dedicated deployments can be configured for data-location or infrastructure needs. The API fits existing development workflows, while serverless inference lets customers access GPU-backed model serving without operating the underlying inference infrastructure.

Platforms Supported

Windows Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI developers, machine-learning engineers, and research teams building speech recognition, transcription, translation, and audio-understanding applications.

Audience

AI engineering teams, ML engineers, CTOs and organizations deploying open-weight AI models through APIs or dedicated infrastructure.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

The model weights and fine-tuning toolkit are available under the OpenMDW-1.1 license. Hardware and inference-serving costs depend on the selected deployment.
Free Version Supported
Free Trial Not Supported

Pricing

$0.075/1M input tokens
Serverless inference is billed per million input and output tokens at model-specific rates; Gemma 3 12B starts at $0.075 per million input tokens and $0.15 per million output tokens. Dedicated Inference uses a fixed monthly fee paid upfront, with 6-, 12-, 18-, or 24-month commitments and capacity-based tiers.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

NVIDIA
Founded: 1993
United States
research.nvidia.com/labs/nemotron/NVIDIA-Nemotron-3.5-Transcribe/

Company Information

NEXTBIT 256, S.L.
Founded: 2021
Spain
www.nextbit256.com

Alternatives

Alternatives

Gemini 3.5 Transcribe

Gemini 3.5 Transcribe

Google
5.0 out of 5 stars
Azure AI Speech

Azure AI Speech

Microsoft

Categories

AI Models Supported
Speech Recognition Supported
Speech to Text Supported
Transcription Supported

Categories

AI Inference Supported
LLM API Supported

Integrations

Amazon Web Services (AWS) Not Supported
Anthropic Not Supported
Claude Code Not Supported
Cline Not Supported
Cursor Not Supported
Datadog Not Supported
Google Cloud Platform Not Supported
Hugging Face Transformers Supported
Microsoft Azure Not Supported
NVIDIA NIM Supported
OpenAI Not Supported
Prometheus Not Supported
vLLM Supported

Integrations

Amazon Web Services (AWS) Supported
Anthropic Supported
Claude Code Supported
Cline Supported
Cursor Supported
Datadog Supported
Google Cloud Platform Supported
Hugging Face Transformers Not Supported
Microsoft Azure Supported
NVIDIA NIM Not Supported
OpenAI Supported
Prometheus Supported
vLLM Not Supported
Claim Nemotron 3.5 Transcribe and update features and information
Claim Nemotron 3.5 Transcribe and update features and information
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Claim Nextbit Inference and update features and information