AlibabaQwenbalancedTool use

Qwen3 Coder 480B A35B (free)

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over repositories. The model features 480 billion total parameters, with 35 billion active per forward pass (8 out of 160 experts). Pricing for the Alibaba endpoints varies by context length. Once a request is greater than 128k input tokens, the higher pricing is used.

262K context·~197K words·262K max output
Context window262Ktokens
Max output262Ktokens

Context window

This model accepts 262K tokens in one request (~197K words of text).

Context window size262K 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
    Fits
  • Full novel
    About 375K words of text
    Won't fit

Specifications

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

Context window
262,000 tokens (262K)
Max output tokens
262,000 tokens (262K)
Speed tier
balanced
Provider
Alibaba
Model family
Qwen
Release date
Jul 2025

Capabilities

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

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

Best for

Jump to a guide or ranking that matches each workload.

Compare Qwen3 Coder 480B A35B (free)

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

Frequently asked questions

Short answers about context size and how this model behaves.

Qwen3 Coder 480B A35B (free) has a context window of 262K tokens (262,000 tokens). This large window is well-suited for long document analysis, extensive codebases, and multi-session agent workflows.

More from Alibaba

Other models by Alibaba in our catalog.

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.

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