LLM API Cost Calculator

Pricing AI workloads is harder than it should be. Every provider quotes a different unit — per 1K tokens, per 1M tokens, per call, per second of audio — and most published rate cards leave out fixed costs, batching discounts, and image surcharges. This calculator normalises 369+ models from Railwail's catalogue so you can compare them apples-to-apples in seconds.

How the math works

Each model has a per-1K-token input price and a per-1K-token output price, stored in EUR. Your monthly bill is simply input_tokens × input_price + output_tokens × output_price. We surface the per-1M numbers in the table because most providers quote that unit publicly, but the underlying math runs on per-1K. Fixed per-call costs (image generation, video, audio) don't apply to token-based models and are excluded from this view — see /pricing for per-call workloads.

Switch providers, keep the same code

All models in the table speak the same OpenAI-compatible API on Railwail. Once you've identified a cheaper option, swapping is one environment-variable change — no SDK rewrite, no retry logic. Compare any two models head-to-head on the /compare page, or browse the full catalogue at /models.

Switching from GPT-4o to DeepSeek V4 Pro would save you ~100% on a 1M-input + 1M-output workload — same monthly traffic, same prompts, just a different model behind the API.