Calculate the normalized cost per one million tokens across LLM providers.
Per-token pricing varies by more than 100x between the cheapest and most expensive frontier models, making model choice one of the biggest levers on AI product cost. This calculator applies your specified token volume across a reference table of major providers' current input or output pricing so you can directly compare total spend across models before committing to one.
cost = (tokens / 1000000) × price_per_million_tokens
Compare both if your workload has a mix — output tokens are typically 2-5x more expensive than input tokens across most providers, so completion-heavy workloads are more sensitive to model choice.
These are illustrative reference prices; providers change pricing periodically, so verify current rates on official pricing pages before finalizing a budget.
Not necessarily — cheaper models may require more tokens (via longer prompts, retries, or chaining) to achieve the same task quality, so per-token price isn't the only variable in total cost.