Qwen3-Coder-Next is Alibaba Qwen's latest local agentic coding model.

It is an Apache 2.0 licensed open-weight language model designed specifically for coding agents and local development.

Use via a coding harness

You can use Qwen3-Coder-Next via agentic coding harnesses such as Codex, Claude Code, or OpenCode with LM Studio.

• Use Qwen3-Coder-Next with Claude Code
• Use Qwen3-Coder-Next with Codex

Features

• Super Efficient with Significant Performance: With only 3B activated parameters (80B total parameters), it achieves performance comparable to models with 10–20x more active parameters, making it highly cost-effective for agent deployment.
• Advanced Agentic Capabilities: Through an elaborate training recipe, it excels at long-horizon reasoning, complex tool usage, and recovery from execution failures, ensuring robust performance in dynamic coding tasks.
• Versatile Integration with Real-World IDE: Its 256k context length, combined with adaptability to various scaffold templates, enables seamless integration with different CLI/IDE platforms (e.g., Claude Code, Qwen Code, Qoder, Kilo, Trae, Cline, etc.), supporting diverse development environments.

Model Overview

Qwen3-Coder-Next has the following features:

• Type: Causal Language Models
• Training Stage: Pretraining & Post-training
• Number of Parameters: 80B in total and 3B activated
• Number of Parameters (Non-Embedding): 79B
• Hidden Dimension: 2048
• Number of Layers: 48
  • Hybrid Layout: 12 * (3 * (Gated DeltaNet → MoE) → 1 * (Gated Attention → MoE))
• Gated Attention:
  • Number of Attention Heads: 16 for Q and 2 for KV
  • Head Dimension: 256
  • Rotary Position Embedding Dimension: 64
• Gated DeltaNet:
  • Number of Linear Attention Heads: 32 for V and 16 for QK
  • Head Dimension: 128
• Mixture of Experts:
  • Number of Experts: 512
  • Number of Activated Experts: 10
  • Number of Shared Experts: 1
  • Expert Intermediate Dimension: 512
• Context Length: 262,144 natively

License

Qwen3-Coder-Next is licensed under Apache 2.0.