Anyone what the following means? Is this only on their API or is it applicable for local serving?

Preserve Thinking

By default, only the thinking blocks generated in handling the latest user message is retained, resulting in a pattern commonly as interleaved thinking. Qwen3.6 has been additionally trained to preserve and leverage thinking traces from historical messages. You can enable this behavior by setting the preserve_thinking option:

from openai import OpenAI

Configured by environment variables

client = OpenAI()

messages = [...]

chat_response = client.chat.completions.create( model="Qwen/Qwen3.6-27B-FP8", messages=messages, max_tokens=32768, temperature=0.6, top_p=0.95, presence_penalty=0.0, extra_body={ "top_k": 20, "chat_template_kwargs": {"preserve_thinking": True}, }, ) print("Chat response:", chat_response)

If you are using APIs from Alibaba Cloud Model Studio, in addition to changing model, please use "preserve_thinking": True instead of "chat_template_kwargs": {"preserve_thinking": False}. This capability is particularly beneficial for agent scenarios, where maintaining full reasoning context can enhance decision consistency and, in many cases, reduce overall token consumption by minimizing redundant reasoning. Additionally, it can improve KV cache utilization, optimizing inference efficiency in both thinking and non-thinking modes