LLM Cost Calculator
A provider-neutral calculator for any large language model. Pick a preset from OpenAI, Anthropic, Google, xAI, Meta, Mistral, Cohere or Amazon Bedrock, or enter your own input and output rates, to compare models on identical traffic.
Inputs
Result
$675
per month
$0.0225 per request · $22.50 per day · $8,213 per year
- Input cost per request
- $0.0075
- Output cost per request
- $0.0150
- Cost per 1,000 requests
- $22.50
- Tokens per day
- 2,000,000
- Tokens per month
- 60,000,000
- Cost per day
- $22.50
- Cost per month (30 days)
- $675
- Cost per year
- $8,213
Disclaimer: Model availability, pricing and specifications may change. Verify pricing directly with the provider before making business decisions. Preset rates reflect published list prices last reviewed August 2026; choose “Custom pricing” to enter your own rates.
Formula
- Cost per call = (input tokens × input rate + output tokens × output rate) ÷ 1,000,000
- Daily cost = cost per call × calls per day
- Annual cost = daily cost × 365
Methodology
Pricing is quoted per million tokens and split into input (what you send, including the system prompt and any retrieved context) and output (what the model writes back). The two rates are different, and output is usually the more expensive of the pair.
The calculator multiplies your token counts by the selected rate, then scales the per-request cost by your daily volume to a monthly and annual figure. A 30-day month and a 365-day year are used so results stay comparable between tools.
Provider prices change, so every model list includes a custom option. Enter the exact rates from your provider's pricing page for a number you can put in a budget. Model availability, pricing and specifications may change. Verify pricing directly with the provider before making business decisions.
To compare two models fairly, hold the token counts and daily volume constant and change only the model. The difference in the monthly figure is the true cost of switching, before any quality difference is considered.
Example: comparing a large and a small model
- The same workload — 1,500 input and 500 output tokens, 1,000 calls a day — costs about $262 a month on a $2.50 / $10.00 model.
- On a $0.15 / $0.60 model the same traffic costs about $16 a month.
- The gap, roughly $246 a month, is what the larger model has to earn back in quality.
Frequently asked questions
How do I compare hosted and self-hosted models?
Hosted models bill per token; self-hosting bills per GPU hour whether or not you use it. Convert self-hosting to a per-token figure by dividing monthly GPU cost by the tokens you expect to serve, then compare it with the rate here.
Is the cheapest model per token the cheapest overall?
Not always. A weaker model that needs retries, longer prompts or human correction can cost more end to end than a stronger model that gets it right the first time.
How much should I budget for growth?
Token spend scales roughly linearly with usage, so multiply the monthly figure by your expected growth multiple and check that the unit economics still hold at that volume.
Are these prices always up to date?
The presets reflect widely published list prices and are reviewed periodically, but providers adjust them and offer discounts for batch processing, cached input and committed spend. Model availability, pricing and specifications may change. Verify pricing directly with the provider before making business decisions.
What happens when a provider launches a new model?
Model names and rates live in one central configuration, so a new model appears in every relevant dropdown as soon as it is added. Page URLs stay provider-based rather than version-based, so no link ever goes stale when a model generation changes.
Does the calculator send my data anywhere?
No. Every calculation runs in your browser, so nothing you type is uploaded, stored or logged.
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