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claude-api-cost-optimization
ASecuritySave 50-90% on Claude API costs with Batch API, Prompt Caching & Extended Thinking. Official techniques, verified.
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- Added February 6, 2026
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[](https://www.skillsdirectory.com/skills/sstklen-claude-api-cost-optimization)---
name: claude-api-cost-optimization
description: Save 50-90% on Claude API costs with Batch API, Prompt Caching & Extended Thinking. Official techniques, verified.
triggers:
- "/api-cost"
- "save money"
- "reduce cost"
- "API pricing"
- "batch api"
- "prompt caching"
---
# Claude API Cost Optimization
> Save 50-90% on Claude API costs with three officially verified techniques
## Quick Reference
| Technique | Savings | Use When |
|-----------|---------|----------|
| **Batch API** | 50% | Tasks can wait up to 24h |
| **Prompt Caching** | 90% | Repeated system prompts (>1K tokens) |
| **Extended Thinking** | ~80% | Complex reasoning tasks |
| **Batch + Cache** | ~95% | Bulk tasks with shared context |
---
## 1. Batch API (50% Off)
### When to Use
- Bulk translations
- Daily content generation
- Overnight report processing
- NOT for real-time chat
### Code Example
```python
import anthropic
client = anthropic.Anthropic()
batch = client.messages.batches.create(
requests=[
{
"custom_id": "task-001",
"params": {
"model": "claude-sonnet-4-5",
"max_tokens": 1024,
"messages": [{"role": "user", "content": "Task 1"}]
}
}
]
)
# Results available within 24h (usually <1h)
for result in client.messages.batches.results(batch.id):
print(f"{result.custom_id}: {result.result.message.content[0].text}")
```
### Key Finding: Bigger Batches = Faster!
| Batch Size | Time/Request |
|------------|--------------|
| Large (294) | **0.45 min** |
| Small (10) | 9.84 min |
**22x efficiency difference!** Always batch 100+ requests together.
---
## 2. Prompt Caching (90% Off)
### When to Use
- Long system prompts (>1K tokens)
- Repeated instructions
- RAG with large context
### Code Example
```python
response = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=1024,
system=[{
"type": "text",
"text": "Your long system prompt here...",
"cache_control": {"type": "ephemeral"} # Enable caching!
}],
messages=[{"role": "user", "content": "User question"}]
)
# First call: +25% (cache write)
# Subsequent: -90% (cache read!)
```
### Cache Rules
- Minimum: 1,024 tokens (Sonnet)
- TTL: 5 minutes (refreshes on use)
---
## 3. Extended Thinking (~80% Off)
### When to Use
- Complex code architecture
- Strategic planning
- Mathematical reasoning
### Code Example
```python
response = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=16000,
thinking={
"type": "enabled",
"budget_tokens": 10000
},
messages=[{"role": "user", "content": "Design architecture for..."}]
)
```
---
## Decision Flowchart
```
Can wait 24h? → Yes → Batch API (50% off)
↓ No
Repeated prompts >1K? → Yes → Prompt Caching (90% off)
↓ No
Complex reasoning? → Yes → Extended Thinking
↓ No
Use normal API
```
---
## Official Docs
- [Batch Processing](https://docs.anthropic.com/en/docs/build-with-claude/batch-processing)
- [Prompt Caching](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching)
- [Extended Thinking](https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking)
---
*Made with 🐾 by [Washin Village](https://washinmura.jp) - Verified against official Anthropic documentation*
Files in this skill
- SKILL.md
- STORY.md
- assets/preview.png
- claude-api-cost-optimization.skill.md
- examples/GAIA-savings-report.md
- examples/batch-294-videos-case-study.md
- examples/billing-data-analysis.md
- examples/jelly-294-gaia-tagging-batch.md
- examples/real-batch-results.md
- references/README.md
- references/batch-api.md
- references/extended-thinking.md
- references/prompt-caching.md
- scripts/batch_example.py
- scripts/cache_example.py
- scripts/calculate_savings.py
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