We’ve launched our most advanced model yet: Pangram 4! Read about it here.
Today we're announcing Pangram 4: our most powerful and accurate AI detector to date.
Pangram 4 is over six times larger than its predecessor, and it demonstrates significant improvements in humanizer detection, identification of AI-assisted text, and boundary detection on interspersed human and AI content. It is also a robust detector of the latest frontier models. We believe it to be the best of its kind in the world.
For the full evaluation numbers, training details, and known limitations, see the Pangram 4 technical blog post and the Pangram 4 model card. You can also view the full technical report here.
On internal benchmarks, Pangram 4 achieves a false positive rate of just 0.0041%, or roughly one false positive for every 24,000 documents.
Pangram 4 also has a marked reduction in false negatives, achieving a false negative rate of 0.3396%, down from Pangram 3's false negative rate of 1.99% on our new challenge datasets.
To our knowledge, Pangram 4 is the first AI detection model that is able to differentiate AI-edited writing from interspersed human-AI content simultaneously in a single pass.
It is robust against humanizers and adversarial prompting, identifying AI involvement in humanized output 98.83% of the time across 13 popular commercial tools.
It generalizes across frontier models: every model family is detected with an FNR below 0.7%, with no significant correlation between a model's release date and its detectability.
In addition to the launch of our new models, we're adjusting how credits work and how many are in your plan. Instead of each scan rounding up to 1,000 words, one scan will be used per 100 words, letting you make the most of your credits. We're also adjusting scan volume to better reflect our model upgrades and current user behavior.
Finally, we're excited to add image scans to every plan with no price increase.
Here's a before and after breakdown of the plan changes:
Monthly plans before
Monthly plans after
The same credit change applies to the API. API calls are priced at $0.05 per 100 words, which represents a price change of 1-2x for short documents and up to 10x for long-form documents.
We will continue to support Pangram 3 for the next two months, with a scheduled deprecation date of September 30, 2026. Default requests that don't specify a model will continue routing to Pangram 3 using the previous billing system, until Pangram 3 is deprecated.
For the full evaluation numbers, training details, and known limitations, see the Pangram 4 technical blog post and the Pangram 4 model card. You can also view the full technical report here.

Max is a seasoned machine learning engineer. He most recently worked on autonomous vehicles at Nuro, leading their active learning effort. He has a long history of deploying successful machine learning products at Google, Two Sigma, and Yelp.
Max holds a B.S. in theoretical computer science and an M.S. in artificial intelligence from Stanford University. In addition to his passion for building, he is also an active member of the Magic: the Gathering cube community.





