AI API platforms, inference endpoints, and developer-facing model access
Updated June 2026
AI API platforms provide access to large language models, embedding models, and other AI capabilities through developer-friendly interfaces. They are the building blocks for teams integrating AI into their own products — where model quality, latency, pricing, and reliability directly impact what you can build.
Our AI panel reviews each API platform on model performance, documentation quality, rate limits, pricing structure, and developer experience. We test across real integration scenarios — from simple text generation to complex multi-turn tool use — to assess which platforms deliver production-grade reliability, not just impressive playground demos.
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The GitHub of machine learning models, datasets, and AI apps
Open-weight large language models for custom deployment at any scale
Communication APIs for SMS, voice, email, and WhatsApp
Unified analytics platform for data engineering, machine learning, and analytics
Financial data connectivity API for apps and fintech services
AI voice synthesis and cloning platform for realistic speech generation
AI language models built for safety and reliability
AWS managed service providing access to foundation models via APIs
Speech-to-Text, Text-to-Speech, and Voice Agent APIs for developers
Google's AI platform providing access to Gemini language models via API
Vector database for similarity search across billions of items in milliseconds
Build, deploy, and scale ML models on Google Cloud infrastructure
Embedding models and rerankers for search and retrieval over unstructured data
Open-source vector database for AI-native applications
Unified API for accessing multiple AI models from different providers
Python library for data validation using type hints
Microsoft's managed cloud service for OpenAI's GPT and AI models
Google's AI assistant powered by Gemini models
Speech-to-text and voice AI models for developers
Search and discovery APIs built for speed and relevance
GPU cloud infrastructure purpose-built for AI training and inference at scale
On-demand GPU cloud for AI training, inference, and batch compute
Handheld whole-body ultrasound with AI for point-of-care clinical use
Search, crawl, and research API built for AI agents
AI inference powered by the world's fastest processor
Search AI APIs for embeddings, reranking, and web reading
Automate workflows and deploy AI agents across 3,000+ APIs
Build and deploy computer vision models without the complexity
Open-source vector database for AI applications and semantic search
Open-source platform for preprocessing unstructured data for LLM applications
Cloud platform for running machine learning models via API
GPU inference infrastructure for deploying AI models in production
Open-source framework for building applications with large language models
Full-stack TypeScript platform with real-time database and serverless functions
Build AI-powered applications with OpenAI's language models
Developer platform for deploying and running AI models at production scale
Open-source AI platform for building and deploying machine learning models
Document OCR and parsing for AI agent pipelines
Open source models and APIs for emotional intelligence in voice AI
Streaming text-to-speech with sub-100ms latency for voice agents
Web search, content extraction, and research APIs for AI agents and LLMs
Programmatic data labeling and model development platform for AI teams
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