Qwen: Qwen3 Coder Next
Model Type
Proprietary Model
API access only
Recommended Use Cases
Try Qwen3 Coder Next
Qwen3-Coder-Next is Alibaba's ultra-efficient open-weight coding model built on the Qwen3-Next architecture, featuring 80B total parameters with only 3B active per token, designed specifically for coding agents and local development.
Qwen3-Coder-Next achieves performance comparable to models with 10-20x more active parameters, making it highly cost-effective for agent deployment.
- Qwen Team
Overview
Qwen3-Coder-Next is built on Qwen3-Next-80B-A3B-Base using a novel hybrid attention and MoE architecture. It has been agentically trained at scale on 800,000 executable tasks with environment interaction and reinforcement learning, optimizing for long-horizon reasoning, complex tool usage, and recovery from execution failures.
Key Features
- Ultra-efficient inference: 80B total parameters, 3B active per token
- 256K native context: Full repository-scale understanding without chunking
- Agentic training: Trained on 800K verifiable coding tasks with executable environments
- 370 programming languages: Expanded from 92 in previous versions
- Tool calling: Works with Claude Code, Qwen Code, Cline, and other agent frontends
- Non-thinking mode only: Direct responses without
<think>blocks
Technical Specifications
| Specification | Value |
|---|---|
| Total Parameters | 80B |
| Active Parameters | 3B |
| Architecture | Hybrid attention + sparse MoE |
| Layers | 48 (Gated DeltaNet + Gated Attention + MoE) |
| Context Length | 256K tokens |
| License | Apache 2.0 |
When to Use Qwen3-Coder-Next
Choose Qwen3-Coder-Next when you need:
- Local deployment with limited GPU resources
- Cost-effective agentic coding at scale
- Integration with existing IDE/CLI tools
- Repository-scale code understanding
Consider alternatives when you need:
- Maximum capability (use Qwen3-Coder-480B-A35B)
- Extended thinking mode for complex reasoning
- Vision inputs for coding from mockups (use Qwen3-VL)
Availability
- Open Weights: Hugging Face (Qwen/Qwen3-Coder-Next)
- Inference: SGLang (>=0.5.8), vLLM (>=0.15.0)
- Local: Ollama, LMStudio, llama.cpp
Role in Series
Qwen3 Coder models offer different capability/efficiency tradeoffs:
- Qwen3-Coder-Next: Most efficient, 80B/3B active, local deployment (this model)
- Qwen3-Coder-30B-A3B: Balanced efficiency, 30B/3B active
- Qwen3-Coder-480B-A35B: Maximum capability, 480B/35B active