AI TOOL PROFILE

Goose Review: AI Infrastructure and NLP API Service

Goose helps software and enterprise companies integrate large language models into their products. It is designed for teams looking to manage AI infrastructure costs through an output-based token pricing model.

Pricing

Pricing is based on output tokens, with base prices starting at $0.000035 per request (covering up to 25 tokens). Users pre-purchase credits, and bulk discounts may be available for enterprise customers.

At a glance

Best for
Software Companies, Enterprise Companies, Developers using Python or JavaScript
Key use cases
Text Generation, Question and Answer Workflows, Text Completion, AI Infrastructure Migration
Visit goosegoose software interface screenshot

How AI is used

Goose is a managed NLP-as-a-Service platform developed as a joint venture between CoreWeave and Anlatan. It provides access to various language models, including GPT-Neo, GPT-J, and GPT-NeoX, through an API.

The service is designed for software companies and organizations that need to integrate text generation or question-answering capabilities into their applications. By providing SDKs for Python and JavaScript, it is intended to support developers who use industry-standard AI APIs.

Buyers should note that the platform operates on a pre-paid credit system. Because costs are based on output tokens rather than input tokens, it may help businesses manage their AI spending.

Interested users should confirm if the available open-source model variants meet their specific accuracy and performance requirements for their intended use case.

Key Features

  • Managed NLP API

    A managed service for accessing AI language models without managing the underlying infrastructure.

  • Multiple GPT Models

    Access to various model sizes, including GPT-Neo (125M to 2.7B), GPT-J (6B), Fairseq (13B), and GPT-NeoX (20B).

  • Developer SDKs

    Supports Python and JavaScript to facilitate integration into applications.

  • Output-Only Token Pricing

    A pricing structure that charges based on tokens generated rather than tokens inputted.

  • Text Completion and Generation

    Supports NLP tasks such as generating text and completing sequences.

  • Question Answering

    Capabilities designed for query-and-response workflows.

Use Cases

  • Text Generation

    Integrating AI-driven text creation into software products via API.

  • Question and Answer Workflows

    Developing automated responses to user queries using managed language models.

  • Text Completion

    Supporting applications that require the AI to predict and complete text strings.

  • AI Infrastructure Migration

    Moving from other NLP APIs to a managed service with output-based pricing.

FAQ

How does Goose pricing work?

Goose charges based on the number of tokens generated per API call. A base price covers the first 25 tokens, with additional per-token fees depending on the model size.

What language models are available on Goose?

The platform offers GPT-Neo (125M, 1.3B, 2.7B), GPT-J (6B), Fairseq (13B), and GPT-NeoX (20B).

How do users pay for the service?

Goose uses a credit system where users pre-purchase credits through a self-serve platform to pay for generated tokens.

Source category: Software Development

Source subcategory: AI Infrastructure

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