Estimate API costs for leading AI models with a simple workflow. The LLM Cost Calculator shows live prices from our maintained dataset, then turns your inputs into a clear cost breakdown you can copy and share. Choose a model, enter token usage and call volume, and see per request, daily, and monthly totals in seconds.
LLM Cost Calculator: Updated on 14-12-2025
AI Model Cost Calculator BinaryVerse Tools Vendor data
Compare token costs across providers. Dropdowns are sorted with newest models first. Cached input uses the vendor “prompt cache read” price when available.
| Price in | Cached in | Price out |
|---|---|---|
| $0.00 | $0.00 | $0.00 |
All vendor pricing rows (sorted newest first) toggle
| Provider | Model | Unit | In | Cached | Out | As of | Source |
|---|
Table of Contents
Quick start
- Pick a provider and model.
- Enter prompt tokens and completion tokens.
- Set API calls per day and days per month.
- Optional, use the cache hit rate if you reuse prompts.
- Copy the summary and share it with your team.
How the LLM Cost Calculator works
- Prices are per 1M tokens by default. You can switch to per 1K tokens if you prefer a smaller unit.
- Cost per request equals prompt tokens times input price, plus completion tokens times output price.
- Daily cost equals cost per request times calls per day.
- Monthly cost equals daily cost times days per month.
- Cache hit blends the cached input price with the normal input price. If a model does not have a cached price, the input price is used.
Supported models
The LLM Cost Calculator focuses on current and popular models. Examples include GPT 5, GPT 4.1, GPT 4o, Claude 4.1, Gemini 2.5 Pro, Grok 4, DeepSeek, and selected Qwen tiers. The table on this page is tied to our internal data, and we add or adjust entries when providers update pricing or release new versions.
Pricing data and freshness
- Data source, maintained internally by BinaryVerseAI.
- Each row includes an as of date and a source link, when available.
- You cannot download the CSV from this page. We manage the data in one place to reduce errors.
- If you notice a mismatch, contact us, and we will verify and correct it.
Why use this LLM Cost Calculator
- Fast planning. Enter real workloads, then see exact costs for your scenario.
- Easy comparison. Switch models in one click, and keep the same inputs.
- Shareable. Use Copy summary to paste a clean result into email, chat, or a document.
- Mobile friendly. The UI adapts to phones and tablets.
- Maintained. Prices are reviewed and updated on a regular cadence.
Tips to reduce API spend
- Trim prompt tokens where possible.
- Cap completion tokens for predictable replies.
- Use a cache for repeated system prompts and long context.
- Pick the right tier. Per 1K and per 1M views help you spot better fits for your volume.
- Test a smaller model for non critical paths. Many tasks do not require the most expensive tier.
Notes and assumptions
- Units are tokens. Some providers also publish character prices.
- Prices are on demand API rates unless noted in the table.
- Batch, priority, and enterprise programs may differ.
- Always confirm critical numbers on the provider page before you commit large budgets.
Copy and share
Click Copy summary to grab a short report with the model name, cost per request, daily cost, and monthly cost. Paste it into your tools of choice. This is the fastest way to align budgets with product and engineering.
Change log
- 2025 08 17, initial launch of the LLM Cost Calculator.
- Future edits will appear here, for example, model added, price updated, or note changed.
Sources:
https://platform.openai.com/docs/pricing
https://www.anthropic.com/pricing#api
https://api-docs.deepseek.com/quick_start/pricing
What units does the LLM Cost Calculator use?
Per 1M tokens by default. You can switch to per 1K tokens in the calculator.
Is this API pricing?
Yes, these are on demand API rates for input and output tokens. Some providers also offer batch or priority tiers.
What is a token?
A token is a chunk of text. Roughly 3 to 4 characters in English. Providers bill by token for both input and output.
Does cache reduce cost?
Yes. When you reuse the same prompt, cached input tokens are billed at a lower rate when the provider supports caching. Set a cache hit rate to see the effect.
Can I compare models side by side?
Yes. Use the table below the calculator to scan prices across models. For deeper comparisons, adjust tokens and copy results for each model.