Inference Providers
Marketplace connecting users to multiple third-party inference providers for hosted AI models, billed per input/output token with provider- and model-specific rates shown side by side.
Find alternatives to Inference Providers
Per-million-token input/output pricing varying by model and provider, e.g. Llama-3.1-8B at $0.02 input / $0.05 output per million tokens via Novita. Whether a recurring free tier exists is not stated either way.
What it does
- Model inference
How it compares
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Claude API
Anthropic competes with Hugging Face in enterprise LLM usage, but differs in strategy
Research report · 19 Sep 2026 -
Cohere Platform
Cohere competes with Hugging Face for enterprise LLM adoption, especially in regulated industries
Research report · 19 Sep 2026 -
OpenAI API
OpenAI competes with Hugging Face for enterprise inference and fine-tuning budgets, although its model stack is fully proprietary and vertically integrated
Research report · 19 Sep 2026
Sources
- Pricing
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Per-million-token input/output pricing varying by model and provider, e.g. Llama-3.1-8B at $0.02 input / $0.05 output per million tokens via Novita. Whether a recurring free tier exists is not stated either way.
- Description
- What it does
- Sold within
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Self-serve marketplace, no subscription tiers or bundled plans mentioned; billed per token used.
- Name
- URL
Also from Hugging Face
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Hugging Face Hub Platform
Hosts and versions open models, datasets and demo applications, publicly or privately.
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Inference Endpoints Infrastructure service
Deploys a model from the Hub to a dedicated managed endpoint, billed by the hour.
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Spaces Platform
Hosts runnable demo applications for models on free or paid hardware.
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HuggingChat Application
Chat app powered by open-source AI models with an Omni router that automatically selects the most suitable model, or lets users pick directly from 140+ open models.
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Hugging Face Jobs Infrastructure service
Pay-as-you-go compute for running AI training, fine-tuning, synthetic data generation and batch inference jobs on Hugging Face's own CPU/GPU/TPU infrastructure via CLI or Python API.
Open Hugging Face in the directory
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