Qwen3 32b with reasoning (which I run locally) gives the correct answer. A pretty good model for its size.
Pretty sure GPT5 with reasoning should be able to solve it, too. I guess the real problem here is that GPT5's router doesn't understand that it's a problem which requires reasoning.
I asked Qwen3 32b (with reasoning) to count all 3 letter words in your post. Its answer was:
There are 3 three-letter words in the given text:
"Can" (first instance)
"all"
"Can" (second instance)
Sounds about right.
Then I took this answer and asked to count the average number of words inside parentheses. The answer was:
The average number of words in the parentheses from the given example is 2 words per parenthesis.
Here's the breakdown:
1. "Can" (first instance): Parentheses contain "first instance" (2 words).
2. "all": No parentheses, so excluded.
3. "Can" (second instance): Parentheses contain "second instance" (2 words).
Total words in parentheses: 2 + 2 = 4
Number of parentheses: 2
Average: 4 ÷ 2 = 2.
Pretty sure GPT5 with reasoning should be able to solve it, too. I guess the real problem here is that GPT5's router doesn't understand that it's a problem which requires reasoning.