Nextbit Inference Description

Nextbit Inference provides open-weight AI models accessible via API endpoints that align with the request formats utilized by OpenAI and Anthropic. Developers can browse a catalog of models and seamlessly call them using standard client libraries, all under a token-based pricing structure. The service features options for shared serverless inference as well as dedicated single-tenant endpoints that come with guaranteed capacity. Additionally, Nextbit facilitates model fine-tuning and deployment services for both fine-tuned and customer-supplied models. This platform caters specifically to AI and machine-learning engineers focused on developing applications, agents, and efficient production inference workflows. Clients have the flexibility to select between EU or global endpoints; dedicated deployments can be tailored to meet specific data-location and infrastructure requirements. The API is designed to integrate smoothly into existing development processes, and the serverless inference option enables users to leverage GPU-backed model serving while eliminating the burdens of managing the underlying infrastructure. This comprehensive offering empowers developers to innovate rapidly and effectively in the fast-evolving AI landscape.

Pricing

Pricing Starts At:
$0.075/1M input tokens
Pricing Information:
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.

Integrations

API:
Yes, Nextbit Inference has an API

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Company Details

Company:
NEXTBIT 256, S.L.
Year Founded:
2021
Headquarters:
Spain
Website:
www.nextbit256.com

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Product Details

Platforms
Web-Based
On-Premises
Types of Training
Training Docs
Customer Support
Online Support

Nextbit Inference Features and Options

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