Qwen
The top of Alibaba's Qwen line — 2.4 trillion parameters, sparsely activated, for the long and layered problems.
262.144K tokens
कॉन्टेक्स्ट
131,072 tokens
अधिकतम आउटपुट
मध्यम
गति
Multi-step work that has to stay coherent to the end.
Arguments and plans that have to survive scrutiny.
Changes that span services rather than one file.
Strong well beyond English, not just translated.
Tuned to this model — click any line to copy.
Qwen 3.8 Max is the top of Alibaba's Qwen line, announced on 3 August 2026 and the most capable model the Qwen team has shipped. It is a sparse mixture-of-experts design with roughly 2.4 trillion total parameters and about 95 billion active per token, which is how it reaches frontier quality without frontier-scale cost on every request.
The Max tier is the counterpart to the Flash tier most people meet first. Flash is built for speed and volume; Max is what you escalate to when the task is long, layered or high-stakes — a migration plan with edge cases, a piece of analysis that has to survive scrutiny, a coding job that spans several systems. It is strong across languages, which is part of why the Qwen family travels well outside English, and it handles tool calling and structured output cleanly when the answer feeds a pipeline rather than a person.
A note on what you actually get here. Alibaba published the hosted Max with a very large context, and separately released an open-weights 2.4T checkpoint that is text-only. On NinjaChat the model serves about 256K tokens of context with up to 128K tokens of output, which is what our providers run today — a real number rather than a headline one.
If you have been using Qwen 3.8 Flash and hitting its ceiling on the hard problems, this is the model to move up to, with Flash still one click away when you want speed back.
शून्य से पहले नतीजे तक, एक मिनट से भी कम में।
01
Create a NinjaChat account and choose a plan
02
Open chat and pick Qwen 3.8 Max from the model list
03
Give it the full problem, constraints included
04
Escalate here from Qwen 3.8 Flash when a task gets hard
ईमानदार तुलना — जहाँ {model} जीतता है, और जहाँ नहीं।
Much more depth on hard, multi-step problems
Flash is far faster and cheaper for everyday chat
Larger sparse model with strong multilingual range
Kimi K3 is tuned harder for agentic coding
Bigger frontier model for long-horizon work
GLM 5.2 preserves reasoning across turns and tool calls
हर NinjaChat plan में 50+ models, एक पूरा image studio, और वीडियो जनरेशन शामिल है।



एक ही सब्सक्रिप्शन में NinjaChat के सभी मॉडल शामिल हैं, Qwen 3.8 Max भी।