Hugging Face Inference Endpoints
Researched 141d agoMarketplaceTier 3Hugging Face
Hugging Face Inference Endpoints exposes 1 tracked model (1 with output token pricing in seed data). Task coverage across this catalog includes general LLM work; open any model detail page for benchmarks, batch tiers, and migration prompts.
Portfolio context: 0 decision-task tags, 1 catalog row, latest research stamp 2026-01-01.
Use this portfolio page for
- Teams comparing token and batch economics on this surface
Do not stop here for
- Final benchmark picks without opening the relevant model detail page
Catalog rows
1
Models linked to this provider in seed data
Priced output routes
1
Rows with token_out in seed data
Cheapest output
$0.150
Mistral 7B v0.1 on this route
Batch-ready SKUs
0
No batch pricing tracked
Latest catalog ship
Unknown
From model.release ISO prefixes
Freshness
2026-01-01
Researched 141d ago
Catalog release signal
No ISO-prefixed release dates on linked models — lag metric withheld.
Where this host wins
Task positioning unavailable until catalog models pick up capability tags or benchmarks.
Getting started
Official entry points from seed metadata — confirm quotas and regions in vendor docs.
Compliance notes (verbatim seed excerpts)
Not yet verified from seed copy — no SOC/ISO/HIPAA-class sentences detected to quote verbatim.
Platform Overview
Hugging Face's AI platform serves as a comprehensive ecosystem for machine learning, centered around the Hugging Face Hub. This hub hosts an extensive collection of over 450,000 pre-trained models and 90,000 datasets, covering a wide range of AI tasks including natural language processing, computer vision, and audio processing. Users can easily access and utilize these resources for various applications such as text classification, translation, image generation, and speech recognition. The platform's Transformers library simplifies the implementation of these models, providing user-friendly interfaces for tasks like fine-tuning and model evaluation. The platform extends its capabilities through Spaces, which are customizable environments for deploying and showcasing machine learning applications. These Spaces enable users to create interactive demos and engage with AI technology without requiring extensive technical expertise. The platform also supports integration with popular machine learning frameworks like TensorFlow and PyTorch, enhancing its versatility for developers. By combining a vast repository of models and datasets with tools for collaboration and deployment, the platform empowers users to efficiently build, train, and deploy AI models while fostering a community-driven approach to AI development and innovation.
Available Models(1)
View all →All models available as Serverless
| Model | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Mistral 7B v0.1 | $0.05 | $0.15 |
Platform Details
Organization
Hugging Face is a leading AI community and platform dedicated to democratizing artificial intelligence. They provide a comprehensive ecosystem for machine learning, focusing on natural language processing and deep learning. Their platform offers: 1. A vast repository of pre-trained models and datasets 2. Tools for model training, fine-tuning, and deployment 3. Collaborative spaces for AI researchers and developers 4. Open-source libraries like Transformers for state-of-the-art NLP Founded in 2016, Hugging Face has grown rapidly, now serving over 5 million users. They emphasize open-source development and community-driven innovation, fostering a collaborative environment for AI advancement. The platform supports various AI tasks, including text generation, image processing, and speech recognition, making it a versatile hub for both beginners and experts in the field of artificial intelligence.