Cost Optimization
Strategies and results from cost optimization efforts, including model migration, token reduction techniques, and workflow improvements that reduced operational costs while maintaining quality.
Detailed Pricing Table
| Model | Input ($/1M tokens) | Output ($/1M tokens) | Cost Index |
|---|---|---|---|
| Kimi K2 | $0.60 | $2.50 | 100% |
| Qwen3 235B | $0.70 | $2.80 | 113% |
| Claude 4.5 Haiku | $1.00 | $5.00 | 194% |
| Claude 4.5 Sonnet | $3.00 | $15.00 | 581% |
Cost Index: Relative cost compared to Kimi K2 (baseline 100%)
Optimization Strategies
Model Migration
Switching from Claude 4.5 Sonnet to cost-effective alternatives like Kimi K2 or Qwen3 for appropriate tasks.
Prompt Optimization
Streamlining prompts by removing redundancy and using more efficient instructions.
Context Window Management
Reducing conversation turns and implementing smarter context pruning strategies.
Caching Strategies
Implementing response caching for common queries and static content.
Cost Optimization Timeline
Initial Assessment
Baseline measurement of token usage across all apps
Prompt Engineering Phase
Systematic prompt optimization and format standardization
Token reduction: Significant reduction in prompt length
Model Evaluation & Migration
Testing Kimi K2, Qwen3, and other alternatives
Cost impact: Major cost savings while maintaining quality