Context Window
AlibabaQwenbalancedTool use

Qwen-Plus

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

129K context·~97K words·16K max output
View context detailsCompare with Amazon Titan Text Express
Context window129Ktokens
Max output16Ktokens

Context window

This model accepts 129K tokens in one request (~97K words of text).

Context window size129K tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Fits
  • 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
129,024 tokens (129K)
Max output tokens
16,384 tokens (16K)
Speed tier
balanced
Provider
Alibaba
Model family
Qwen
Release date
Feb 2025
Input cost
$0.400/M / 1M tokens
Output cost
$1.20/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

Jump to a guide or ranking that matches each workload.

ReasoningAI agentsLong documentsRAG

Compare Qwen-Plus

Open a side-by-side comparison with one click.

Frequently asked questions

Short answers about context size and how this model behaves.

Qwen-Plus has a context window of 129K tokens (129,024 tokens). This covers most professional use cases including large code files, lengthy reports, and long conversation histories.

More from Alibaba

Other models by Alibaba in our catalog.

Qwen3.5-Flash
Qwen
1Mfast
Qwen3.5 Plus 2026-02-15
Qwen
1Mbalanced
Qwen3.6 Flash
Qwen
1Mfast
Qwen3.6 Plus
Qwen
1Mbalanced
Qwen3.6 Plus (free)
Qwen
1Mbalanced
Qwen Coder
Qwen
1Mbalanced

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savingsLearn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model