clade-cost-tuning

# Anthropic Cost Tuning ## Overview Anthropic charges per token. Input tokens, output tokens, and cached tokens each have different prices. Here's how to minimize cost without losing quality. ## Pricing (per million tokens) | Model | Input | Output | Cached Input | Batch Input | Batch Output | |-------|-------|--------|-------------|-------------|--------------| | Claude Opus 4 | $15.00 | $75.00 | $1.50 | $7.50 | $37.50 | | Claude Sonnet 4 | $3.00 | $15.00 | $0.30 | $1.50 | $7.50 | | Claude Haiku 4.5 | $0.80 | $4.00 | $0.08 | $0.40 | $2.00 | ## Cost Reduction Strategies ## Instructions ### Step 1: Right-Size Your Model ```typescript // DON'T use Opus for everything // DO match model to task complexity: // Simple classification/extraction → Haiku (cheapest) const category = await classify(text, 'claude-haiku-4-5-20251001'); // General coding/writing → Sonnet (balanced) const code = await generate(spec, 'claude-sonnet-4-20250514'); // Complex multi-step reasoning → Opus (best quality) const analysis = await analyze(data, 'claude-opus-4-20250514'); ``` ### Step 2: Prompt Caching (90% off input tokens) ```typescript // Cache your system prompt — pays for itself after 2 calls const message = await client.messages.create({ model: 'claude-sonnet-4-20250514', max_tokens: 1024, system: [{ type: 'text', text: longSystemPrompt, // Must be 1024+ tokens cache_control: { type: 'ephemeral' }, // Cache for 5 minutes }], messages, }, { headers: { 'claude-beta...