Anthropic's developer API for the Claude model family, billed per million tokens with separate input, output and prompt-caching rates.
Usage-based pricing
LLM APIs & AI Infrastructure
Model APIs, vector databases and the hosting around them for teams building on large language models. Token rates are recorded per model and per direction exactly as published, so you can estimate a workload before you commit.
Tools in LLM APIs & AI Infrastructure
5 tools
Hugging Face Hub is a platform for hosting and sharing machine learning models, datasets and demo apps (Spaces) in Git-based repositories. It offers model and dataset cards, a dataset viewer, Inference Providers for serverless model calls, Inference Endpoints for dedicated deployments, Spaces hardware including ZeroGPU, and organization features such as SSO, audit logs and storage regions on Team and Enterprise plans.
Free plan available; paid plans from USD 9 per month
Free plan
Mistral AI's developer API (Studio) for its language, OCR, speech, embedding and moderation models, billed per token, per page or per minute depending on the service, with batch and cached-input discounts.
Usage-based pricing
OpenAI's developer API for calling its language models, billed per million tokens with separate input, cached-input and output rates.
Usage-based pricing
Pinecone is a managed vector database for AI applications. Serverless indexes support dense, sparse, full-text and hybrid search with metadata filtering, namespaces for multi-tenancy, integrated embedding and reranking models, backups and dedicated read nodes. Pinecone Assistant adds a managed RAG service. A free Starter plan is available; paid plans bill on storage, read and write units.
Free plan available; paid plans from USD 20 per month
Free plan
Guides and reviews
How to Compare AI API Pricing: Tokens, Units and Hidden Costs
To compare AI API pricing, estimate input, output and cached-input tokens per request, copy each model's per-million-token rates with their tier and context band, multiply by monthly volume, apply only documented batch and caching discounts, and check the result against the provider's rate limits and spend caps. This tutorial walks through the method with verified OpenAI and Anthropic rates as listed on 24 October 2026 and an illustrative worked example.
· SIDAN Editorial
Comparisons
OpenAI API vs Anthropic Claude API: Token Pricing Compared
Both providers sell access to large language models per token, priced separately for input and output, with discounts for cached input. This comparison puts the published rates for their current flagship, mid-tier and smallest listed models side by side so you can estimate what a workload would cost on each.