Pricing
hvilkenAI is free to use. Benchmark pages, weekly reports, guides and comparisons are open to everyone — no account, no payment.
We evaluate over 350 AI models daily and present the strongest results for Scandinavian languages. Recommendations are independent and based on test results, not commercial agreements.
Free
The free tier is ideal for those who want to track which models perform best right now.
- Daily benchmark of the top models from over 350 evaluated options
- Side-by-side model comparisons
- Weekly reports and practical insights
- Overviews for writing, coding, API costs and everyday use
Extended data access
Some organisations need more than the open pages: faster access, integrations or repeatable model selection. We agree such access directly.
- Real-time data and more comprehensive model overview
- API access for custom systems and dashboards
- Historical and trend data for models over time
- Signals for pricing, response time, stability and value
- Better foundation for choosing models for internal tools
Need something specific?
If your team requires API, reports or custom overviews, we can clarify requirements directly.
Independence
hvilkenAI is not financed by the AI companies we test. We have no affiliate agreements, sponsored placements or commercial ties to providers.
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How to choose the right level
The open pages cover you if you follow the market and make occasional choices. If you are building internal tools, documenting model choices over time or comparing several languages systematically, contact us for extended data access. For companies, we recommend a small pilot before broad rollout.
What the free level is for
The free content is enough for most people who want to find the right AI tool, follow the market or compare models before choosing a subscription. You get the daily benchmark, guides, comparisons, reports and practical recommendations without an account. That is intentional: basic model selection should be available to everyone.
The free level is also useful for small teams creating a first AI policy. You can see which models look strong for Scandinavian languages, what trade-offs exist between price and quality, and which areas should be reviewed before paid use.
When extended access is relevant
Extended data access is most relevant when the data will be used in internal systems, reporting, model routing, procurement reviews or ongoing quality assurance. In those cases you may need more history, more data points and access that can integrate with your own workflows.
We do not try to push everyone into paid access. If you only need to choose a tool for private use or simple work tasks, the free content is usually enough. Paid or agreed access makes sense when benchmark data creates measurable value in an organisation.
How to use this page in practice
This page is written to help you make a concrete decision, not just read general AI information. Start by clarifying the task, the risk and how much you are willing to pay. Then compare the recommendation with today’s benchmark, the AI test and any relevant privacy or data requirements.
For personal use, it is often enough to try a free or low-cost option first. For work, customer content, documents or sensitive information, place more weight on control, source handling, language quality, stability and who processes the information. A good AI model is not only the one that scores highly on one day, but the one that gives reliable answers in your workflow.
HvilkenAI evaluates over 350 AI models and presents the most important signals without sponsored placements or affiliate ranking. Use the page as a starting point: test two or three options on the same task, check how much editing remains and choose only when you see which model actually saves time.
When to be extra careful
Be especially careful when the AI answer will be used in client work, hiring, finance, health, legal assessment or other work where mistakes can have consequences. In those cases, do not look only at price or top score; also consider control, data sharing, internal approval and how easy it is to explain why the tool was chosen.
A good choice is often the one with the lowest total risk: strong enough quality, clear limitations, reasonable cost and a workflow where humans still quality-check the result.