Anthropic's flagship LLM family.
Claude is an AI assistant developed by Anthropic, built for reasoning, analysis, coding, writing, and agentic task execution. Unlike a basic chatbot that responds to one prompt at a time, Claude can carry out multi-step workflows autonomously, use tools, read and write files, browse the web, and execute code. It is trained using Constitutional AI, a technique Anthropic developed to align the model’s behaviour with a set of principles rather than relying solely on human feedback at every step. Claude is available as a consumer product at claude.ai and through an API for developers building production systems.
Claude is a large language model, which means it generates responses by predicting the most useful next token given everything in its context window. Its context window is very large, allowing it to process long documents, codebases, and extended conversations without losing track. Here is how the key parts of the system fit together:
All three models are capable of the same broad tasks, but they differ in speed, cost, and depth of reasoning. Haiku is the fastest and cheapest, suited for classification, summarisation, and high-volume pipelines. Sonnet balances speed with frontier-level intelligence and is the default choice for most production applications including coding and agent workflows. Opus is the most capable for complex, multi-step reasoning and tasks that benefit from deeper analysis, at a higher cost per token.
Both are large language model assistants, but they come from different companies with different design philosophies. Anthropic built Claude with a focus on safety and honesty through Constitutional AI. Claude is generally noted for its large context window, detailed structured reasoning, and performance on coding and agentic tasks. ChatGPT has a larger ecosystem of third-party plugins and integrations. The best choice depends on your use case and the models you test against your specific tasks.
Yes. Anthropic provides an API with Python and TypeScript SDKs, Batch API for high-volume workloads, prompt caching for cost reduction, and tool use for connecting Claude to external systems. Claude Code, Claude Cowork, and the MCP server ecosystem are all built on the same API that developers access directly, so the same capabilities available in Anthropic's own products are available to anyone building on the platform.
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