Qwen3 Coder Next
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per token, delivering performance comparable to models with 10 to 20x higher active compute, which makes it well suited for cost-sensitive, always-on agent deployment.
Input
Output
Context
262K
Max Output
66K
Parameters
80B
Technical Specifications
Model TypeChat
Context Window262K
Max Output Tokens66K
Parameters80B
Training Cutoff—
Licenseapache-2.0
Capabilities
Input Modalities
text
Output Modalities
text
Features
code_completioncode_generationcode_reviewfunction_callingstreamingtext_generation
Resources & Links
Estimated GPU Requirements for Qwen3 Coder Next
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: May 5, 2026
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