1Choose the Right Model for Each Task
Model Selection Matrix
Task Type | Recommended Model | Cost/1M Tokens | Savings vs GPT-4 |
---|---|---|---|
Simple Q&A | GPT-3.5-turbo | $1.50 | 95% ↓ |
Chinese Processing | DeepSeek V3 | $0.14 | 99% ↓ |
Fast Tasks | Claude 3 Haiku | $0.25 | 98% ↓ |
Complex Analysis | GPT-4 | $30.00 | Baseline |
💡 Pro Tip: Use our model comparison tool to automatically find the most cost-effective model for your specific use case.
2Optimize Your Prompts
❌ Inefficient Prompt (127 tokens)
Cost: $0.0038 per request
✅ Optimized Prompt (23 tokens)
Cost: $0.0007 per request
82% cost reduction
3Implement Smart Caching
Caching Strategy ROI
Result: Average 60% cost reduction through intelligent caching
4Batch Process Requests
Individual Requests
Batched Request
6 More Quick Wins
5. Set Token Limits
Prevent runaway costs with max_tokens parameter
6. Use Streaming Wisely
Reduce perceived latency without extra costs
7. Monitor Usage Patterns
Identify and eliminate wasteful requests
8. Negotiate Volume Discounts
Contact providers for enterprise pricing
9. A/B Test Models
Find the sweet spot between cost and quality
10. Set Budget Alerts
Prevent bill shock with proactive monitoring