I compared Qwen3.8-Flash-Next-W4A16-FP8PLE at xhigh reasoning vs DeepSeek-V4.1-Flash-1017-dsx-2.6bit (my own quant) at max reasoning by benchmarking using a modified version of BenchKit. DeepSeek V4.1 Flash 1017 2.6 bit scored 23/25, while Qwen scored 25/25 (full marks). This is just a small sample of data, but it answers the question of which one I should use. I will keep using Qwen. Humaneval benchmark, question 22: Complete the following Python function. Output ONLY the function body. No markdown fences, no explanation, no examples. from typing import List, Any def filter_integers(values: List[Any]) -> List[int]: """ Filter given list of any python values only for integers >>> filter_integers(['a', 3.14, 5]) [5] >>> filter_integers([1, 2, 3, 'abc', {}, []]) [1, 2, 3] """ DeepSeek: thinked for 127.9 seconds, doom loop killed after a confirmed active cycle stayed at or above 80% for 10s Qwen: correct answer after 18.8 seconds: return [x for x in values if isinstance(x, int)] HumanEval/24: Complete the following Python function. Output ONLY the function body. No markdown fences, no explanation, no examples. def largest_divisor(n: int) -> int: """ For a given number n, find the largest number that divides n evenly, smaller than n >>> largest_divisor(15) 5 """ DeepSeek: Failed by the software after failing to answer after 297.7s of waits and but waits. Qwen: correct answer after 34.5s: if n % 2 == 0: return n // 2 i = 3 while i * i   submitted by