๐Ÿงญ Free tool

Which Claude model do you need?

5 questions, 30 seconds. We'll tell you whether Haiku, Sonnet, or Opus fits your real use case โ€” no hype, no pushing you toward the priciest option by default.

Selector questions

1. What will you mainly use AI for?

2. What volume of use do you expect?

3. What matters most in your decision?

4. Do you need the AI to act autonomously (agents, tools, code)?

5. How much context do you need to load (documents, code, history)?

Claude's 3 models, in one table

The recommendation follows one simple rule: use the smallest model that handles your task well. Overpaying for power you don't need is the most common mistake when starting out with the API.

ModelPrice (1M tokens, input/output)Best for
Claude Haiku~$1 / ~$5Real-time chat, classification, high volume
Claude Sonnet 5~$3 / ~$15Coding, agents, daily professional use
Claude Opus~$15 / ~$75Deep reasoning, critical tasks

What if I need several models at once?

That's the norm in production: a router that sends each request to the right model. For example, Claude Haiku for classifying and answering simple queries, and Claude Sonnet only when the request requires coding, tool use, or multi-step reasoning. That way you only pay for the high-end model when it's actually needed.

Want to put real numbers on your choice? Use our AI API cost calculator, dig deeper with Claude vs ChatGPT vs Gemini, or explore the rest of the tools in the AI directory.

// FAQ

Frequently asked questions about Claude's models

What's the real difference between Haiku, Sonnet, and Opus?
Mostly speed, cost, and depth of reasoning. Haiku is the fastest and cheapest, built for high volume and simple tasks. Sonnet 5 balances power and price โ€” it's the default model for Claude Code and Cowork in 2026. Opus offers the deepest reasoning for critical tasks, at the highest price.
Can I switch models later?
Yes, and it's recommended. Start with the cheapest model that covers your main use case and upgrade only once you've confirmed you need to. Switching models in the API is as simple as changing a parameter in the request.
Does this recommendation apply to ChatGPT or Gemini too?
The logic (pick the smallest model that handles the task well) applies to any provider. Names differ, but every lab offers a fast/cheap tier, a balanced tier, and a maximum-capability tier. Check our full comparison for the equivalents.
Is this for choosing a Claude app plan, or only for the API?
Both. In the API you pick the model per request; in the Claude app (web, desktop, or mobile) paid plans give you access to more powerful models with higher monthly usage. If you only use the app, check our Claude for free guide to see what each plan includes.