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Alibaba releases Qwen3-Coder-Next to rival OpenAI, Anthropic

Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local Development

marktechpost.com

February 4, 2026

5 min read

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39/100

Summary

Qwen3-Coder-Next is an open-weight language model designed for coding agents and local development, built on the Qwen3-Next-80B-A3B backbone. It features a sparse Mixture-of-Experts (MoE) architecture with 80 billion total parameters, activating only 3 billion parameters per token to optimize performance and reduce inference costs.

Key Takeaways

Qwen3-Coder-Next is an open-weight language model specifically designed for coding agents and local development, built on the Qwen3-Next-80B-A3B backbone.
The model employs a sparse Mixture-of-Experts architecture with 80 billion total parameters, activating only 3 billion parameters per token to optimize performance and reduce inference costs.
Qwen3-Coder-Next is trained on approximately 800,000 executable tasks using reinforcement learning, enabling it to perform long-horizon reasoning and tool sequencing.
The model achieves competitive benchmark scores, such as 70.6 on SWE-Bench, indicating performance comparable to larger models with significantly more active parameters.

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