Optimize All Your AI Providers
Unified cost management for every major generative AI provider.
OpenAI
Anthropic
Azure OpenAI
AWS Bedrock
Cohere
GPT Strategic Cost Management Features
Comprehensive tools for generative AI strategic cost management, from token analytics to intelligent model routing.
Intelligent Model Routing
Automatically route requests to the most cost-effective model based on task complexity. Use GPT-4 for complex reasoning and GPT-3.5 for simple tasks.
Token Usage Analytics
Detailed visibility into token consumption by feature, user, and endpoint. Identify wasteful patterns and optimize prompts.
Prompt Optimization
AI-powered analysis identifies verbose prompts and suggests concise alternatives that maintain quality while reducing tokens.
Semantic Caching
Cache similar queries to serve repeated requests without hitting the API. Reduce costs and improve response times.
Budget Controls & Alerts
Set spending limits per feature, team, or user. Get real-time alerts before costs exceed thresholds.
Cost Forecasting
ML-powered predictions for future AI spending based on usage trends and growth patterns.
Proven Optimization Strategies
Strategies used by leading companies to reduce generative AI costs by 70%.
Model Tiering Strategy
Not every request needs your most expensive model. Our intelligent routing analyzes request complexity and routes to the optimal model.
Example: A customer support chatbot routes simple FAQ responses to GPT-3.5 Turbo ($0.002/1K tokens) while escalating complex issues to GPT-4 ($0.06/1K tokens).
Prompt Engineering Optimization
Shorter, more focused prompts use fewer tokens. We analyze your prompts and identify opportunities to reduce token usage.
Example: Removing redundant instructions and examples from a summarization prompt reduced tokens from 500 to 150 per request.
Response Caching
Many AI requests are semantically similar. Our caching layer identifies similar queries and serves cached responses.
Example: An e-commerce product recommendation engine caches responses for similar product queries, serving 40% of requests from cache.
Model Pricing Comparison
Understanding pricing differences enables intelligent model routing.
| Model | Input Cost | Output Cost | Best For |
|---|---|---|---|
| GPT-4 Turbo | $0.01/1K | $0.03/1K | Complex reasoning |
| GPT-3.5 Turbo | $0.0005/1K | $0.0015/1K | Simple tasks |
| Claude 3 Opus | $0.015/1K | $0.075/1K | Complex analysis |
| Claude 3 Haiku | $0.00025/1K | $0.00125/1K | Fast, simple tasks |
* Prices as of latest public pricing. DeepCost automatically tracks pricing changes.