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Alibaba / Qwen Advanced

Qwen3-Coder-480B-A35B-Instruct

Qwen3-Coder-480B-A35B-Instruct is a verified code generation model profile covering current specifications, pricing or access, capabilities, best uses and key limitations.

Code Generation ModelText Freemium
In plain English

What is this model and why does it matter?

Qwen3-Coder-480B-A35B-Instruct is Qwen's 480B-total, 35B-active coding MoE for repository-scale software engineering and agentic coding with 256K-class context.

Agentic codingRepository-level engineeringOpen-weight researchSelf-hosted code assistantsSoftware migration
Model overview

Qwen3-Coder-480B-A35B-Instruct: features, use cases and important details

Qwen3-Coder-480B-A35B-Instruct is a current AI model covered in the Simplify AI Tools model directory.

Qwen3-Coder-480B-A35B-Instruct verified specifications

Qwen3-Coder-480B-A35B-Instruct is Qwen’s 480B-total, 35B-active coding MoE for repository-scale software engineering and agentic coding with 256K-class context. The verified context or generation limit is 262144 tokens, with 65536 tokens maximum output.

Qwen3-Coder-480B-A35B-Instruct pricing and access

Alibaba Model Studio uses tiered pricing by request size and region; Global pricing starts around $0.861/M input and $3.441/M output for shorter requests, while Apache-2.0 weights can be self-hosted.

Qwen3-Coder-480B-A35B-Instruct best uses

Agentic coding, Repository-level engineering, Open-weight research, Self-hosted code assistants, Software migration.

Qwen3-Coder-480B-A35B-Instruct limitations

Hosted exact endpoint lacks some tool features, Generated code requires testing, Large model footprint.

Qwen3-Coder-480B-A35B-Instruct capabilities and use cases

In addition, its main capabilities include 480B total / 35B active MoE, 256K context, 65K hosted output, Agentic coding and Apache 2.0. For example, common use cases include Coding agents, Large codebases, Software migration, Private code assistants and Research.

Who should consider Qwen3-Coder-480B-A35B-Instruct?

In practice, this model may suit Agentic coding, Repository-level engineering, Open-weight research, Self-hosted code assistants and Software migration. Also, notable strengths include Apache 2.0, Strong coding focus and Large context. However, review trade-offs such as Hosted exact endpoint lacks some tool features, Generated code requires testing and Large model footprint before adopting it.

Qwen3-Coder-480B-A35B-Instruct pricing and access

Meanwhile, Alibaba Model Studio uses tiered pricing by request size and region; Global pricing starts around $0.861/M input and $3.441/M output for shorter requests, while Apache-2.0 weights can be self-hosted. Hosted prices vary by context and region; self-hosting requires major multi-GPU infrastructure.

Official resources and verification

Use the official model website, official documentation, pricing or release source and additional primary source to confirm current availability, limits and pricing. Product details can change after publication, so rely on primary documentation for final decisions.

Compare with other AI models

Next, continue your research in the AI models directory, Alibaba / Qwen models and Code Generation Model models. Compare providers, pricing, modalities and practical limitations side by side to choose the right model for your workflow.

Get started

How to use this model

  1. Use Alibaba Model Studio or download the official weights.
  2. Call qwen3-coder-480b-a35b-instruct for hosted inference.
  3. Keep within context limits.
  4. Test generated code.
  5. Use multi-GPU serving for self-hosting.
Copy and try

Example prompts

  • Implement this feature safely.
  • Fix the failing tests.
  • Generate this multi-file application.
Capabilities

What it can do

  • 480B total / 35B active MoE
  • 256K context
  • 65K hosted output
  • Agentic coding
  • Apache 2.0
Best for

Practical use cases

  • Coding agents
  • Large codebases
  • Software migration
  • Private code assistants
  • Research
Pricing

What does it cost?

Alibaba Model Studio uses tiered pricing by request size and region; Global pricing starts around $0.861/M input and $3.441/M output for shorter requests, while Apache-2.0 weights can be self-hosted.

InputFrom $0.861 / 1M tokens in Global regions
OutputFrom $3.441 / 1M tokens in Global regions
Simple summaryHosted prices vary by context and region; self-hosting requires major multi-GPU infrastructure.

What stands out

  • Apache 2.0
  • Strong coding focus
  • Large context

Things to consider

  • Huge self-hosting requirements
  • Long-context hosted pricing rises
Limitations

Important restrictions and trade-offs

  • Hosted exact endpoint lacks some tool features
  • Generated code requires testing
  • Large model footprint
SimplifyAITools verdict

Our editorial take

A major open coding model for teams comparing frontier coding agents and self-hosted alternatives.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗