# Qwen 3.8 follows GPT-5.5 Pro reasoning prefills

> Source: <https://gist.github.com/wsxiaoys/e0286dc6bb624ff5fdf49e7f4c528ba3>
> Published: 2026-09-09 17:24:28+00:00

# Reasoning prefills on a few open models, v1.1

_A follow-up to [Reasoning prefills on a few open models](https://gist.github.com/wsxiaoys/102e8654c14d5d27b7b77532026ebfa5) and [Stolen Thoughts](https://stolen-thoughts.com/)_

This v1.1 reruns the reasoning-prefill experiment with GPT-5.5 Pro as the teacher.

For each problem, I generated two responses from each target model:

1. an ordinary, unprefilled response; and
2. a response starting with the first 1% of GPT-5.5 Pro's reasoning, inserted into the target model's reasoning channel.

The visible answer remained freely generated. I then measured how much of the teacher's visible answer appeared in the first 100 tokens of the target model's answer. The table below reports unigram source recall so the numbers are comparable to my previous post. Deltas are absolute percentage-point changes.

## All problems

The evaluation contains 45 problems: 15 STEM, 15 non-STEM, and 15 synthetic puzzles.

| Model | n | Unprefilled | GPT-5.5 Pro reasoning prefill | Delta |
| --- | ---: | ---: | ---: | ---: |
| DeepSeek V4 Flash | 45 | 40.53% | 40.89% | +0.35 pp |
| Inkling | 45 | 37.82% | 38.67% | +0.85 pp |
| Kimi K3 | 45 | 50.11% | 54.42% | +4.31 pp |
| **Qwen3.8 A95B** | **45** | **33.92%** | **54.50%** | **+20.58 pp** |

## Qwen by category

| Category | n | Unprefilled | GPT-5.5 Pro reasoning prefill | Delta |
| --- | ---: | ---: | ---: | ---: |
| STEM | 15 | 36.21% | 63.76% | +27.55 pp |
| Non-STEM | 15 | 38.26% | 52.73% | +14.46 pp |
| Puzzle | 15 | 27.28% | 47.00% | +19.72 pp |
| **All** | **45** | **33.92%** | **54.50%** | **+20.58 pp** |

## Discussion

Qwen barely moved toward Opus 4.8 in the earlier experiment, but moved by +20.58 points toward GPT-5.5 Pro here, including a large effect on the private synthetic puzzles. The data suggest that Qwen may have learned from GPT-5.5 Pro, or from a closely related GPT model, rather than from Opus.

Kimi K3's overlap with GPT-5.5 Pro is also high both without and with the prefill (50.11% and 54.42%), although the prefill adds only +4.31 points.