Best AI platforms and APIs in 2026
Where you get access to models: provider APIs, model hosting and local runners. 11 tools, ranked by live GitHub and npm numbers.
AI Platforms & APIs comparisons
OpenAIvsAnthropic
OpenAI, founded in 2015, is structured as a nonprofit-controlled entity, the OpenAI Foundation, over OpenAI Group PBC, with Microsoft holding a large minority stake, and ships the ChatGPT apps and GPT-6 models.
ReplicatevsHugging Face
Replicate runs open source and custom machine learning models through a hosted API, billing by compute time or per output with no subscription.
OllamavsLM Studio
Ollama is an open source, command-line-first tool for downloading and running open-weight AI models on your own machine, with a local API and optional paid cloud models.
OllamavsOpenAI
Ollama is an open source tool that downloads and runs open-weight AI models on your own machine, free of charge, with an optional paid plan for hosted cloud models.
CoherevsMistral AI
Cohere builds proprietary language, embedding and rerank models aimed at enterprise search and retrieval, with its current flagship pricing quoted directly by sales.
CoherevsOpenAI API
Cohere is an enterprise-focused AI company offering its Command language models plus embedding and rerank models for search and retrieval, available through its own API and major clouds.
Alternatives
How to choose
These are the services and apps that give you access to models. Provider APIs come from the companies that train the models. Hosting platforms run many models, often open-weight ones, behind one API. Local runners download a model and run it on your own machine.
The choice is mostly about control and cost. A provider API is the shortest path to the newest proprietary models. A hosting platform lets you switch between open models and usually charges by token or by compute time. A local runner keeps data on your machine and has no per-request cost, but is limited by your hardware.
What to compare
- Which models it serves
- Billing: per token, per second of compute, or free to run locally
- Hosted, self-hosted or on your own machine
- Fine-tuning and custom model support
- Data retention and privacy terms
- Rate limits and regions
Questions
Should I use a hosted API or run a model locally?
A hosted API is quicker to start with and gives you the largest models, billed per request. Running locally keeps your data on your machine and costs nothing per request, but the models you can run depend on your hardware.
What is the difference between a model provider and a hosting platform?
A provider trains its own models and sells access to them. A hosting platform runs models made by others, mostly open-weight ones, and lets you pick between them through one API.