For this benchmark, we submitted the same 429 documents to Academi.cx and Winston AI through their APIs, then compared each tool’s scores with the documents’ actual Turnitin AI scores. Together those documents add up to close to 944,000 words, averaging about 2,200 words each, ranging from a 311 word short answer to a 25,000 word thesis.
How close were the predictions
Across all 429 documents, Academi.cx averaged 1.92 points off the real Turnitin score. Winston AI averaged 9.43 points off. Its median error is only 1.0, meaning the typical prediction was fairly close, but a share of much larger misses pulled its average error well above that.
Breaking it down by document type
The 429 documents split into 220 that Turnitin scored as 0% AI, 99 it scored as 100% AI, and 110 that fell somewhere in between.
Winston AI's numbers flip depending on the bucket. On the 100% documents it averaged 4.04 points of error, close to Academi.cx's 3.53, its strongest showing of the three groups. But on the 0% documents it averaged 9.22 points off against Academi.cx's 0.18, and in the mixed bucket it climbed to 14.69 against Academi.cx's 3.95. Winston AI is better at catching fully AI written work than it is at leaving genuine human writing alone.
False flags and missed AI
Academi.cx had a 0% false flag rate and a 0% missed AI rate across all 429 documents, meaning it never scored a genuinely 0% document above 20%, and never scored a genuinely 100% document below 80%. Winston AI came in at a 14.5% false flag rate and a 7.1% missed AI rate, the highest false flag rate of any tool covered in this benchmark so far.
Sentence level accuracy
We also checked how often each tool correctly classified individual sentences as AI written or human written, matched against Turnitin's own sentence level calls. Across all 429 documents, Academi.cx correctly classified 96.64% of sentences. Winston AI came in at 76.59%.
The takeaway
Across all 429 documents, Academi.cx stayed close to the actual Turnitin percentage on every measure checked. Winston AI held up reasonably well on fully AI written content but its false flag rate stood out as its clearest weakness, wrongly flagging genuine human writing more often than any other tool in this benchmark.
See the full benchmark results.
