AI API Migration Planner

Select your current model and the target model you're considering. The planner compares pricing, context window, and provider, then generates a risk assessment and step-by-step migration guide. You can model your team's monthly usage to see exact cost impact.

Key risks include: different API formats (OpenAI vs Anthropic vs Google), prompt compatibility issues, context window changes, output quality differences, and rate limit variations. Our migration planner identifies these risks and provides mitigation strategies for each.

Same-provider migrations (e.g., GPT-4o to GPT-5.4) typically take 1-2 days. Cross-provider migrations (e.g., GPT-5 to Claude Sonnet) take 1-2 weeks due to prompt retuning, API format changes, and testing. The planner provides a timeline estimate based on your specific migration path.

Yes. A phased rollout is the recommended approach: run the new model alongside the old one, compare outputs on a test set, and gradually shift traffic. The planner estimates the cost of running both models during the transition period.

Cost reduction is #1 — teams often save 50-90% by switching from premium to budget models for non-critical tasks. Other reasons: better performance for specific use cases, larger context windows, faster latency, and provider reliability concerns. The planner helps quantify these tradeoffs.