Why the Anthropic API? 🎯
I've built production apps with OpenAI, Anthropic, and Google AI APIs. The Anthropic API wins for me because:
- **Best code quality** — Claude writes better code than GPT for my use cases
- **Tool use** — cleanest implementation of function calling
- **Structured output** — reliable JSON responses
- **Extended thinking** — Claude "thinks" before responding (huge for complex tasks)
⚡ Setup (2 Minutes)
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[@portabletext/react] Unknown block type "code", specify a component for it in the `components.types` prop
🔧 The Features That Matter
Tool Use (Function Calling)
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Streaming (Real-Time Responses)
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System Prompts (Control Behavior)
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💰 Pricing Cheat Sheet
| Model | Input (per 1M tokens) | Output (per 1M tokens) | Best For |
|-------|----------------------|------------------------|----------|
| Haiku 4.5 | $0.80 | $4.00 | High-volume, simple tasks |
| Sonnet 4.6 | $3.00 | $15.00 | Best balance of quality/cost |
| Opus 4.6 | $15.00 | $75.00 | Complex reasoning, best quality |
Cost Estimate for Common Use Cases
| Use Case | Model | Tokens/Request | Cost per 1K Requests |
|----------|-------|---------------|---------------------|
| Code completion | Haiku | ~500 in / 200 out | $1.20 |
| Blog generation | Sonnet | ~200 in / 2000 out | $30.60 |
| Code review | Opus | ~5000 in / 1000 out | $150.00 |
| Chatbot | Sonnet | ~1000 in / 500 out | $10.50 |
🚀 Production Tips
- **Use Sonnet for 90% of tasks** — Opus quality for most use cases at 1/5 the cost
- **Stream responses** — users perceive faster responses
- **Cache system prompts** — Anthropic supports prompt caching, saves money on repeated system prompts
- **Set max_tokens wisely** — you pay for output tokens, don't set 4096 when 500 is enough
- **Handle rate limits** — implement exponential backoff
- **Use tool_choice** — force specific tool use when you know which tool is needed
The Anthropic API is the best-designed AI API I've used. Clean, predictable, powerful. Start building. ⚡