AlibabaQwenbalancedTool use

Qwen-Max

Qwen-Max, based on Qwen2.5, provides the best inference performance among [Qwen models](/qwen), especially for complex multi-step tasks. It's a large-scale MoE model that has been pretrained on over 20 trillion tokens and further post-trained with curated Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) methodologies. The parameter count is unknown.

31K context·~23K words·8K max output
Context window31Ktokens
Max output8Ktokens

Context window

This model accepts 31K tokens in one request (~23K words of text).

Context window size31K tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Won't fit
  • Small codebase
    About 150K words of text
    Won't fit
  • Full novel
    About 375K words of text
    Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window
30,720 tokens (31K)
Max output tokens
8,192 tokens (8K)
Speed tier
balanced
Provider
Alibaba
Model family
Qwen
Release date
Feb 2025
Input cost
$1.60/M / 1M tokens
Output cost
$6.40/M / 1M tokens

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (5)
Tool use
Supported
Function calling
Supported
Extended thinking
Supported
Streaming
Supported
Prompt caching
Supported
Not supported (3)
Vision
Not supported
Web search
Not supported
Batch API
Not supported

Best for

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Compare Qwen-Max

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Frequently asked questions

Short answers about context size and how this model behaves.

Qwen-Max has a context window of 30K tokens (30,720 tokens). This is sufficient for most chat, summarization, and moderate document tasks.

More from Alibaba

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