The winner is the strongest practical weekly result
We summarise the models that performed best during the period, but important choices should still be checked against the current daily benchmark.
Reports
AI benchmark reports from hvilkenAI
We publish a weekly summary of AI performance on Norwegian, Swedish and Danish. The latest reports are available with a 2-week delay — contact us for early access.
hvilkenAI evaluates over 350 AI models independently. We have no commercial ties to the AI providers we assess.
Monthly reports
Weekly reports
Earlier weekly reports have been withdrawn.
They were built on measurements we now know were wrong. We are not leaving them up with retroactive corrections, because they cannot be honestly reconstructed.
Price and stability matter
The most expensive model is not automatically best for Scandinavian-language work. The reports show when lower-cost alternatives are strong enough.
Reports are delayed intentionally
Public reports are published with a delay so the most valuable ongoing analysis can remain part of paid access.
Why this is useful
The AI market changes quickly. Providers update models, prices move and performance on smaller languages can vary. Weekly reports make it easier to spot trends over time without interpreting daily benchmark tables manually.
See also
How to get more value from this reports
Use this reports as a practical decision aid, not as an advertising list. HvilkenAI is built to make AI selection easier when the market changes quickly and model names alone say little about real quality.
Start with the task you actually need to solve. A model that is good at short chat is not automatically best for long documents, code, customer-facing text, research or work involving sensitive information. Consider language quality, price, speed, stability and how much editing the answer requires before choosing a subscription or API.
We evaluate over 350 AI models and present the most useful signals in a format that works for everyday users, students, businesses and developers. The exact calculation is proprietary, but the assessment is based on standardised tasks, updated benchmark data and editorial review of whether the recommendations make sense in practical use.
For important decisions, run a small test of your own: use the same prompt, language and expected format in two or three relevant models. Look at precision, source handling, tone, speed and how easy the answer is to verify. That makes the benchmark a time-saving starting point, not a final answer you must follow blindly.
Use the links on the page as well. One page rarely gives the whole picture: the benchmark shows today’s numbers, the AI test translates your need into concrete recommendations, and the privacy/terms pages explain which data and limitations you should consider. Used together, these sources make the choice more robust than following a model name from social media.
If the result will be used at work, document why the tool was chosen: which task it solves, which alternatives were considered, which data should not be shared and how the answer will be quality-checked. That makes it easier to switch model later if price, quality or provider terms change.
When a page is included in the sitemap, it should also stand on its own as a useful explanation. That is why we emphasise practical choices, concrete control questions and clear limits for how data can be used.
The goal is that the reader can move on with a safer choice after a few minutes, without already knowing every model or provider.
Pay particular attention to whether the recommendation fits the language, price and risk in your own situation.
In short: choose what you can verify.
When free is enough
Choose free or low-cost first when the task is simple, risk is low and you can verify the answer yourself.
When paid is worth it
Paid models can be worth the cost when documents are long, precision matters or you save real working time.
When to wait
If the need is unclear, start with the test and benchmark before committing to a provider.