AiGanakWhich AI should you use, and what will it cost?
Describe the job, or how you use AI yourself. Get the best-value model or plan and what it costs in your language, with announced price rises already applied.
Your own model is built once, not priced per use
Check prices work that runs on existing models. Developing a small or custom language model is a project. Its cost depends on your data, how well it must perform and where it will run, so we scope it with you first.
- Data: what you have, how much, and what has to be cleaned or labelled.
- Model: fine-tune an open model or train a small one, sized to your task and hardware.
- Proof: tests on your own examples against the best existing model, so you know it is worth owning.
- Running it: on your servers or your cloud, with monitoring.
Our own research model: AiGanak-SLM-1B. Want existing models to help with the work instead?
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Other options
The same job on every model, cheapest first
Prove it, keep it, or have it built
Prove it on your own examples
A cheaper model only saves money if it keeps quality on your work. Send a small set of your real examples and we compare the shortlisted models on them.
Open Model Lab → WatchKnow when the answer changes
Prices rise, models are retired and new ones arrive. Get one email when a change affects the models you depend on.
Set up alerts → BuildHave the whole workflow built
Some jobs need more than a model choice: data checks, several steps, validation and delivery. We design and build that with you.
Book a call →Fixed rules on measured data
It prices a job on 12 current OpenAI, Anthropic and Google models in 23 languages. Check does not guess. It applies the same four steps to every job, using data we verify every week, so you can trace each figure.
The same data is open: API prices, language token tax, price changes and the developer tools.
- Size the job. Each job has a typical size: instructions, content read and text written per call, and the number of calls. You can change every number.
- Convert for your language. The same text takes a different number of tokens in each language and on each model family. We measure this for 23 languages.
- Price it on every model. List prices come from each provider's own pricing page. A price change announced for the next 90 days is applied, so the answer does not go stale next month.
- Pick by model class. Each job needs a small, mid or flagship model. Best value is the cheapest model in that class or above.
What is not measured yet: answer quality for each job and language. Until it is, quality is judged by model class, and the page says so. Test on your own examples before switching.
Cost by job
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AiGanak Check questions
Can't find it? Press ⌘K and ask.
What does AiGanak Check do?
It answers two questions for a piece of work you want AI to do: which model to use, and what it will cost. You pick the job, the language and the volume. It prices the job on every current OpenAI, Anthropic and Google model and shows the best-value choice, the cost per job and per month, and other options one class cheaper or stronger.
Is it free, and what happens to what I type?
It is free with no sign-up. The calculation runs in your browser, so the job description and numbers you enter are not sent to us. If you ask for the result by email, only your choices and the totals are sent.
How does it choose the model?
By fixed rules, not by another AI guessing. Each job has a typical size and a model class it normally needs: small, mid or flagship. Check converts the size into tokens for your language on each model family, prices it at verified list prices, applies any price change announced for the next 90 days, and picks the cheapest model in the needed class or above.
Why does the answer change with my language?
Each model family splits text into tokens differently, and the gap between English and other languages varies by family. A model that is cheapest for English can be more expensive than a rival for Tamil or Arabic. Check uses our measured token counts for each language, so the ranking reflects that.
How accurate are the costs?
Prices are list prices copied from each provider's pricing page and checked weekly. Token counts per language are measured. The job size is an estimate of a typical case, which you can change to match your own prompts and replies. Your real bill also depends on retries, caching and discounts.
Should I pay for ChatGPT Plus, Claude Pro or Google AI Pro, or use the API?
Choose “Me or my team” and enter how often you use AI each day. Check compares every current plan with paying per use for the same use, in your language. A plan wins unless paying per use saves a real amount, because plans include apps, voice and files and need no setup. Plan prices do not change with language, while per-use prices are higher for languages that take more tokens.
Which plans does it compare?
Free and paid personal plans from OpenAI (ChatGPT Free, Go, Plus, Pro), Anthropic (Claude Free, Pro, Max) and Google (Gemini Free, Google AI Plus, Pro, Ultra), and for teams ChatGPT Business, Claude Team and Gemini Enterprise Business. Prices are copied from each provider's page and dated. Plan limits are not published exactly, so the page shows them as estimates.
Does it measure answer quality?
Not yet. Quality is judged by model class, and the page labels that as an estimate. A cheaper model only saves money if it keeps quality on your own work, so test the shortlist on your real examples before switching. Model Lab does that comparison for you.