| Feature | OpenAI Pricing Page | TinyTools AI Cost Calculator |
|---|---|---|
| Free to use | Yes | Yes |
| Signup required | No | No |
| Authoritative OpenAI rates | Yes (source of truth) | Mirrors official rates |
| Cost-per-request calculator | No (read-only table) | Yes |
| Monthly volume projection | No | Yes |
| Compare against Anthropic / Gemini / Llama | OpenAI only | Yes, side-by-side |
| Embedding & fine-tune pricing | Yes, every variant | Common variants |
| Batch / cached-input discounts | Documented in detail | Headline rates |
| Shareable result link | No | Yes |
| Updated when OpenAI changes prices | Instantly (it IS OpenAI) | Within ~24h |
Both are free. OpenAI's pricing page is free to read; you only pay if you actually call the API. TinyTools' AI Cost Calculator is also free with no signup and no rate limits on the calculator itself. Neither tool charges a markup or referral fee, and TinyTools doesn't run ads on the calculator page.
Where pricing comes in is what they help you spend at OpenAI: a clear estimate up front from either source can save you from a surprise bill later. The most common "I burned through $400 in a weekend" stories come from people who never did the multiplication of (avg tokens per call) × (calls per day) × 30 before going live.
OpenAI's own page wins on three things, and they're not small.
Authority and freshness. If OpenAI cuts prices or releases a new model on a Tuesday, their page reflects it that Tuesday. Any third-party calculator (TinyTools included) is mirroring those numbers and might be a few hours behind. For finance teams, RFPs, or contracts where you need to cite a number, openai.com/pricing is the source of record.
Edge-case coverage. The official page documents every variant: prompt caching discounts, batch API discounts, fine-tuning training cost vs inference cost, separate audio input and output rates for the realtime API, image-generation pricing tiers, and Whisper per-minute rates. Most third-party calculators (again, TinyTools included) cover the headline cases and skip the long tail. If you're estimating cost for the realtime audio API or a fine-tuned model, go to OpenAI directly.
Enterprise tier and Azure equivalence notes. OpenAI's page describes Scale Tier, Priority Processing, and how Azure OpenAI rates relate — details that matter for procurement but are out of scope for a quick estimator.
The pricing page is a table. A table doesn't answer "what will this actually cost me?" That's where TinyTools wins.
You're estimating a real project. "$2.50 / 1M input tokens" is a number, not a budget. Plug 800 input tokens, 400 output tokens, 50,000 calls per month into TinyTools and you get $90 per month, instantly. No spreadsheet, no off-by-a-decimal mistake.
You're comparing providers. The whole reason to evaluate cost is to ask "should I be on GPT-4o or could Claude Sonnet or Gemini Flash do this for a third of the price?" OpenAI's page only lists OpenAI. TinyTools shows them side by side for the same workload, which is the question you're actually trying to answer.
You want a shareable estimate. Link a TinyTools calculation into a Slack thread or a PR description and the team sees the same numbers you saw. Pricing-page screenshots get stale in a week.
You're not a developer. If you're a founder, PM, or marketer trying to sanity-check whether an AI feature is viable, the OpenAI page assumes you already know what tokens are. TinyTools includes a "what's a token?" explainer and lets you enter words instead.
Open TinyTools, plug in a realistic prompt size and expected daily volume, compare GPT-4o mini vs Claude Haiku vs Gemini Flash, pick the cheapest one that meets your quality bar. Total time: 90 seconds. Then visit OpenAI's pricing page only if you're using a more exotic feature like batch or fine-tuning.
Use OpenAI's official page as the cited source in your spreadsheet. Use TinyTools to sanity-check the spreadsheet's monthly projection — if the two disagree, it's almost always a unit error in your spreadsheet.
Use TinyTools to generate the "estimated COGS per active user" number for the slide. Cite OpenAI's pricing page in the footnote so the number has a source. Pair it with the LLM prompt optimizer to show you can shrink prompts (and therefore COGS) over time.
Use TinyTools' multi-provider view to model the same workload on Claude, Gemini, and an open-weight model on a hosting provider. The OpenAI pricing page can't help here — it only knows about OpenAI.
This isn't a real fight. OpenAI's pricing page is a reference document. TinyTools' AI Cost Calculator is a planning tool. Use the reference page when you need the authoritative number for a contract, an RFP, or an edge-case feature. Use TinyTools when you need an answer to "what will this cost me, and is there a cheaper option?" Most projects need both, in that order: estimate with TinyTools, confirm with OpenAI before you sign anything. While you're at it, our free SEO meta generator can also save your AI feature pages a paid SEO tool subscription.