LLM model migration calculator
See exactly what you'd save by switching from your current model to any alternative — with the quality tradeoff from real benchmark data alongside every number. Forced off a dead model? Check the retired & deprecated model tracker for verified shutdown dates and named successors.
Your current setup
Your current costs
Select your current model to begin.
MODELPRICEWATCH.COM · 2026-08-09
All alternatives ranked by savings
list prices · savings at your usageEstimates combine public list pricing with the Vellum benchmark blend. Quality scores are general-purpose — validate against your own evals before switching a production workload. At volume, your real price is usually lower than list: get a vendor-neutral quote →
Select your current model above to see migration options.
List price isn't what teams pay at volume. Get a free, vendor-neutral quote — dedicated capacity, open-model hosting, and committed-use discounts from across the market.
How the migration calculator works
This tool combines two datasets: API pricing (sourced from and linked to official provider pages) and benchmark performance data (aggregated from public leaderboards — see each model page for per-score provenance). When you select your current model, we calculate your exact monthly cost using the input/output token ratio you specify.
For each alternative model, we show:
- Monthly cost — your projected spend on that model, using your same token usage
- Monthly savings — how much less (or more) you'd pay vs your current model
- Quality — the model's average benchmark score (higher = better output quality)
- Perf/$ — performance per dollar: benchmark score ÷ blended cost per Mtok (higher = better value)
- Verdict — a quick assessment: "save X%, quality Y% better/worse"
Quality threshold: Use the slider to filter out models below your quality floor. If your current model scores 80 on benchmarks, setting the threshold to 70 will only show alternatives with 70+ scores — ensuring you don't sacrifice too much quality for cost savings.
Important: Benchmark scores are averages across multiple tasks and may not reflect your specific use case. A model with a lower average score might outperform a higher-scored model on your particular workload. Use this tool as a starting point, then test promising candidates on your actual data.