Compare real-world API costs across Claude, GPT-4, and Gemini. Input your expected volume and token counts to find the perfect balance between reasoning quality and budget.
Adjust inputs to see our recommendation.
Finding the right model isn't just about the cheapest price-per-token. It's about "Effective Cost" — the total amount you pay to get a successful, high-quality result without needing multiple retries.
Use a "small" model (like GPT-4o-mini or Haiku) for intent classification and simple routing. Only trigger the "large" model (Sonnet or Pro) when the task requires high reasoning.
Models like Claude 3.5 Sonnet offer prompt caching. If you reuse large system prompts or documents, caching can reduce your input costs by up to 90%.