Qwen 3.6-Max-Preview：更智能、更精准，仍在不断进化

Qwen3.6-Max-Preview: Smarter, Sharper, Still Evolving | Qwen

Qwen3.6-Max-Preview: Smarter, Sharper, Still Evolving

QWEN STUDIODISCORD

Following the release of Qwen3.6-Plus, we are sharing an early preview of our next proprietary model: Qwen3.6-Max-Preview. Compared to Qwen3.6-Plus, this preview release brings stronger world knowledge and instruction following, along with significant agentic coding improvements across a wide range of benchmarks. As a preview, the model is still under active development — we are continuing to iterate and expect further gains in subsequent versions.

Qwen3.6-Max-Preview is the hosted proprietary model available via Alibaba Cloud Model Studio, featuring: improved agentic coding capability over Qwen3.6-Plus stronger world knowledge and instruction following improved real-world agent and knowledge reliability performance

You can chat interactively on Qwen Studio or call via API as qwen3.6-max-preview on Alibaba Cloud Model Studio API (coming soon).

Below we present evaluations of Qwen3.6-Max-Preview against leading frontier models. Compared to Qwen3.6-Plus, the preview release delivers significant improvements in agentic coding (e.g., SkillsBench +9.9, SciCode +6.3, NL2Repo +5.0, Terminal-Bench 2.0 +3.8), stronger world knowledge (SuperGPQA +2.3, QwenChineseBench +5.3), and better instruction following (ToolcallFormatIFBench +2.8).

Build with Qwen3.6-Max-Preview#

Qwen3.6-Max-Preview is coming soon to Alibaba Cloud Model Studio. Please stand by until we are fully ready.

Qwen3.6-Max-Preview is available through the Alibaba Cloud Model Studio API as qwen3.6-max-preview. You can also try it instantly on Qwen Studio.

This release supports the preservethinking feature: preserving thinking content from all preceding turns in messages, which is recommended for agentic tasks.

""" Environment variables (per official docs): DASHSCOPEAPIKEY: Your API Key from https://modelstudio.console.alibabacloud.com DASHSCOPEBASEURL: (optional) Base URL for compatible-mode API.

• Beijing: https://dashscope.aliyuncs.com/compatible-mode/v1
• Singapore: https://dashscope-intl.aliyuncs.com/compatible-mode/v1
• US (Virginia): https://dashscope-us.aliyuncs.com/compatible-mode/v1 DASHSCOPEMODEL: (optional) Model name; override for different models. """from openai import OpenAIimport osapikey = os.environ.get("DASHSCOPEAPIKEY")if not apikey: raise ValueError( "DASHSCOPEAPIKEY is required. " "Set it via: export DASHSCOPEAPIKEY='your-api-key'" )client = OpenAI( apikey=apikey, baseurl=os.environ.get( "DASHSCOPEBASEURL", "https://dashscope-intl.aliyuncs.com/compatible-mode/v1", ),)messages = [{"role": "user", "content": "Introduce vibe coding."}]model = os.environ.get( "DASHSCOPEMODEL", "qwen3.6-max-preview",)completion = client.chat.completions.create( model=model, messages=messages, extrabody={ "enablethinking": True, # "preservethinking": True, }, stream=True)reasoningcontent = "" # Full reasoning traceanswercontent = "" # Full responseisanswering = False # Whether we have entered the answer phaseprint("\n" + "=" 20 + "Reasoning" + "=" 20 + "\n")for chunk in completion: if not chunk.choices: print("\nUsage:") print(chunk.usage) continue delta = chunk.choices[0].delta # Collect reasoning content only if hasattr(delta, "reasoningcontent") and delta.reasoningcontent is not None: if not isanswering: print(delta.reasoningcontent, end="", flush=True) reasoningcontent += delta.reasoningcontent # Received content, start answer phase if hasattr(delta, "content") and delta.content: if not isanswering: print("\n" + "=" 20 + "Answer" + "=" 20 + "\n") isanswering = True print(delta.content, end="", flush=True) answercontent += delta.content

Summary#

Qwen3.6-Max-Preview is an early preview of our next proprietary model, delivering meaningful improvements over Qwen3.6-Plus in agentic coding, world knowledge, and instruction following. It achieves the top score on six major coding benchmarks — SWE-bench Pro, Terminal-Bench 2.0, SkillsBench, QwenClawBench, QwenWebBench, and SciCode — with substantial gains over its predecessor. It also demonstrates stronger knowledge (SuperGPQA, QwenChineseBench) and better instruction following (ToolcallFormatIFBench).

As a preview release, Qwen3.6-Max-Preview is still under active development. We are continuing to iterate on the model and expect further improvements in subsequent versions. We welcome community feedback and look forward to seeing what you build. Stay tuned!

Feel free to cite the following article if you find Qwen3.6-Max-Preview helpful:

@misc{qwen36maxpreview, title = {{Qwen3.6-Max-Preview}: Smarter, Sharper, Still Evolving}, url = {https://qwen.ai/blog?id=qwen3.6-max-preview}, author = {{Qwen Team}}, month = {April}, year = {2026}}