How to Choose the Right Claude Model

Claude comes in three flavors, and picking the wrong one either wastes your tokens or wastes your time. In this walkthrough I go from the smallest model to the biggest, show you exactly which use cases each one is built for, and finish with simple defaults for the $20 and $100 plans so you maximize the subscription you pay Anthropic every month.

What you need

• A Claude subscription (the advice differs for the $20 and $100 plans)
• The Claude application, where the model selector lives

1. Claude's three model tiers (0:13)

Claude ships in three sizes. Haiku is the smallest and fastest. Sonnet sits in the middle. Opus is the biggest and also the slowest. Bigger means smarter but also more expensive per thought, so the game is matching the model to the task.

2. When to use Claude Haiku (0:29)

Haiku is lightning-fast: responses land in a couple of seconds. It is the most cost-efficient of the three, great for simple tasks, but not quite there for analysis. Where it shines:

• Quick Q&As. With an FAQ document, it is fantastic at selecting the correct response for a client.
• Text classification. Classifying and tagging text and documents.
• Moderation. Moderating a chat, mail, or client-facing documentation.
• Data extraction. Even from documents that arrive flipped upside down or stained, Haiku pulls the data out. You just verify what it says instead of reading the document yourself.

3. How to select Haiku (1:44)

In the Claude application, click the model selector and you will see the three big models: Opus, Sonnet, and Haiku. Pick Haiku there. There is an extended thinking toggle, and being honest with you, it is not really useful for Haiku 4.5. You will see the thinking story change with Sonnet.

4. When to use Claude Sonnet (2:14)

Sonnet 4.6 is probably my favorite model for pure cost efficiency. For most business use cases it is absolutely fantastic; you do not have to go all the way up to Opus to capture the power of AI for business. It balances speed and analysis, consumes far fewer tokens than Opus, handles very complex instructions, analyzes multiple documents at once, finds correlations, and is extremely reliable at following instructions. Use cases:

• Content creation and editing, including finding what works on social media through data analysis
• Research, where deep research with this model produces fantastic output
• Code generation. Not a developer? It still matters: code is at the basis of everything AI does, so a model that is good at coding is good at everything else.

5. Adaptive thinking in Sonnet (3:39)

Select Sonnet in the model picker and the toggle changes from extended thinking to adaptive thinking. Instead of just thinking more, the model decides how much to think per task. Ask it to send an email and it barely reasons. Ask it to take three, four, five reports from different sources and find correlations, and it uses its maximum thinking capacity.

6. When to use Claude Opus (4:24)

Opus is way above the other two in cognitive capacity, but that does not automatically make it the best pick for business, because it is slow. Where it earns its cost: creative tasks, thanks to superior reasoning that produces richer output; complex technical analysis; it is absolutely monstrous at code; and it is the best of the three whenever you need several pieces of output. On the $20 plan, Opus 4.7 eats your tokens quickly, so avoid using it for everything. Stick to Sonnet and step up to Opus for precise use cases.

7. How to select Opus (5:41)

Same model selector: pick Claude Opus 4.7. It runs with the adaptive thinking functionality as well, not the extended one.

8. The recap: model choice by plan (6:00)

The whole decision is trading speed versus quality:

$20 plan:
  Default          -> Sonnet 4.6 for most use cases
  High volume      -> Haiku for search, tagging, and classification in bulk
  Creative work    -> Opus 4.7 for marketing, creative, and analysis tasks

$100 plan:
  Default          -> Opus 4.7 all the way through
  At rate limits   -> drop back to Sonnet 4.6

Hitting rate limits should not happen often when you are just getting started with AI, but that is the heads-up.

9. Final advice (7:02)

When you start building your first applications with AI, this choice becomes about money: the bigger the model, the more you pay to make it think. The smaller the model, the better it is for your wallet. Match the model to the task and your subscription goes a lot further.

Pitfalls and tips

• Do not use Haiku for analysis. It is great at simple tasks but not quite there for analytical work.
• Extended thinking on Haiku 4.5 is not worth it. The thinking modes only get interesting from Sonnet up.
• Opus on the $20 plan drains fast. Reserve it for the tasks that actually need it.

Where to go next

Curious what sits above Opus? My take on Anthropic's newest tier is in Mythos 5 and Fable 5: My Honest Take. And if you want to put these models to work beyond chat, start with The Two Agentic AI Tools You Need to Learn.