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Start Here
🌱Start Here
Foundations
Prompting Essentials
Multimodal for Noobs
AI Tools Landscape
Research & Learning with AI
Starter Projects
Learning Paths
AI Glossary
🧠Models & Platforms
Compare Models
Frontier Model Landscape
Reasoning Models
APIs & Cloud Providers
Local & Self-Hosted Inference
Fine-Tuning & Customisation
Start Here
🌱Start Here
Foundations
Prompting Essentials
Multimodal for Noobs
AI Tools Landscape
Research & Learning with AI
Starter Projects
Learning Paths
AI Glossary
🧠Models & Platforms
Compare Models
Frontier Model Landscape
Reasoning Models
APIs & Cloud Providers
Local & Self-Hosted Inference
Fine-Tuning & Customisation
Models & PlatformsAPIs & Cloud Providers

APIs & Cloud Providers

Every production AI system calls at least one model API. Choosing your provider(s) affects cost, latency, data privacy, compliance, and what models you can access. This section covers the major providers at API-access level — strengths, pricing structures, and when to use each.

For deep dives into each platform's full product ecosystem, see the dedicated sections: Master Claude, OpenAI & ChatGPT, Gemini & Google AI, and AWS AI.

In This Section

OpenAI API & Azure OpenAI

GPT-4o, GPT-4.5, GPT-5, o-series, DALL-E, Whisper — the OpenAI API ecosystem plus Azure OpenAI for enterprise deployments.

Anthropic Claude API

Claude model family, extended thinking, tool use, computer use, and the Messages API — what makes Claude the go-to for long-context and safety-critical workloads.

Google AI Studio & Vertex AI

Gemini 2.5 Pro/Flash, 1M token context, Grounding with Search, and the two Google AI API surfaces (AI Studio for prototyping, Vertex for production).

Alternative Providers

Together.ai, Groq, AWS Bedrock, Hugging Face Inference, Replicate, Mistral API — when to use them and how they compare on price and model access.

Previous← When Reasoning Helps (and When Not)NextOpenAI API & Azure OpenAI →

Page built: 01 Jun 2026