LLM API Cost Calculator (per token count)
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About LLM API Cost Calculator (per token count)
The LLM API Cost Calculator (direct token input) is a free, privacy-first tool for estimating provider API cost when you already know how many input and output tokens a request will use — for example after counting in your own pipeline, from an invoice, or from the AI Token Counter on AllOneTools. It uses the same published per-million-token pricing table as our token counter, supports prompt-caching splits and reasoning-token multipliers, and compares dozens of frontier and open models. No text is sent to any server; calculations run in your browser.
Key Features
- Direct numeric inputs for input tokens and expected output tokens
- Same 30+ model coverage and $/1M pricing dataset as the AI Token Counter
- Cached-input fraction and reasoning / thinking token ratio — aligned with the token counter’s scenario controls
- Per-request and monthly cost columns with sortable table (cheapest first, by input price, by context, by name)
- Quick presets: Flagship, Cheapest, Coding, Reasoning, Long context
- Shareable URL with query parameters (deep link from the token counter or bookmark a scenario)
- Cross-link to the AI Token Counter when you need exact OpenAI o200k tokenization from raw text
- CSV export for spreadsheets and budgeting docs
- Validator-style blue→green shell matching other AllOneTools AI utilities
Use Cases
- Convert token counts from logs or CLIs into dollar estimates before you scale traffic
- Compare which model is cheapest for a fixed token budget (A/B vendor selection)
- Model monthly spend from known tokens/request and requests/month
- Hand off a scenario from the token counter without re-pasting prompts
- Teach finance and engineering the same numbers using a simple token input form
Pro Tips
- If you do not yet have token counts, start with the AI Token Counter — it can open this page with your current input/output totals in one click.
- URLs accept `input`, `output`, `cached`, `rpm`, `thinking`, and `thinkingRatio` query parameters for reproducible scenarios.
- You can also open with `?preset=cheapest` (or `flagship`, `reasoning`, `long-context`, `coding`) to pre-select model groups when you are not passing explicit token counts.
- Always verify mission-critical budgets against each provider’s live pricing page; we refresh the dataset regularly but APIs change with short notice.
Frequently Asked Questions
How is this different from the AI Token Counter?
The token counter estimates token counts from your text (with exact o200k counts for OpenAI when the tokenizer loads). This page skips text entirely: you type how many input and output tokens you expect. Use the token counter when you have a prompt; use this calculator when you already have numbers from elsewhere.
How do I jump here from the token counter?
On the AI Token Counter, use the "By token count" action in the header. It carries your current input token total, expected output tokens, cache fraction, monthly volume, and thinking settings into this page via the query string.
Are my inputs sent to a server?
No. Like all AllOneTools utilities, pricing math runs locally in your browser. We do not receive your token counts.
How often is pricing updated?
The site shows a last-updated date on the pricing dataset. Check each provider’s official page before you lock in a contract or customer quote.