AI and Claude Haiku: The Tiny Speed Demon

Claude Haiku is the smallest Claude. It answers in milliseconds and costs almost nothing per request, so devs use it for chatbots and quick lookups. It's not great at long, hard reasoning.

Some examples

• Use Haiku for autocomplete or instant suggestions.
• Haiku powers fast helper bots in apps where speed beats depth.
• Skip Haiku for math, code, or anything multi-step.
• On the API, Haiku is cents per million tokens vs dollars for Opus.

Try it!

If you have API access, run the same prompt on Haiku and Sonnet. Compare speed and quality. Notice the trade-off.

Haiku and Flash are both tiny, fast models from rival labs. Haiku is great at following instructions tightly. Flash is multimodal and has a giant context window. Devs pick based on what their app needs.

Some examples

• Pick Haiku when instructions matter and you need careful tone.
• Pick Flash when you need to handle images or huge context.
• Both are cheap enough to use in high-volume apps.
• Run the same prompt on both to feel the difference.

Try it!

If you have access to both, run the same task on Haiku (Anthropic) and Flash (Google AI Studio). Compare the answers.

Anthropic offers three sizes: Haiku (small), Sonnet (medium), Opus (large). Same family for OpenAI: nano, mini, regular. The temptation is to always use the biggest. The truth: for simple tasks (extracting a date, classifying a message, fixing a typo), the small model is faster, cheaper, and just as accurate.

Some examples

• Classifying 10,000 customer messages? Haiku — Opus would cost 50x more for the same accuracy.
• Generating tags for blog posts? Haiku — it's a simple structured task.
• Writing your essay? Sonnet or Opus — quality matters more than cost.
• Tutoring a friend on a hard math problem? Opus — reasoning depth pays off.

Try it!

If you have API access, run the same simple task on Haiku and Opus. Compare cost, speed, and answer quality.

Every family has tiers: Claude Opus / Sonnet / Haiku, GPT-5 / GPT-5 mini, Gemini Pro / Flash. Big models are smarter but slow and expensive. Small ones are 10-100x cheaper and answer in 1-2 seconds. For classification, summaries, simple chats — small wins.

Some examples

• Tagging emails with categories → Haiku is overkill done cheap.
• Generating product titles for 10,000 items → GPT-5 mini saves $$$$.
• Writing a novel chapter → use the big one (Opus, GPT-5).
• Real-time chat in your app → Flash or Haiku for the speed.

Try it!

Pick a simple task you'd normally use a top model for. Try the small variant. See if it's good enough.

use the smallest model that gets the job done

Some examples

• Haiku for fast classify and tag tasks
• Sonnet for everyday code and writing
• Opus for hard reasoning and long planning

Try it!

Open your favorite AI tool and try one of the examples above. Pick the one that matches what you are actually working on this week. Spend 10 minutes, no more. Notice what worked and what did not — that's the real lesson.