Qwen Released February 4, 2026 Synced Mar 10, 2026

Qwen: 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. The model is trained with a strong agentic focus and performs reliably on long-horizon coding tasks, complex tool usage, and recovery from execution failures. With a native 256k context window, it integrates cleanly into real-world CLI and IDE environments and adapts well to common agent scaffolds used by modern coding tools. The model operates exclusively in non-thinking mode and does not emit <think> blocks, simplifying integration for production coding agents.

Tool use

Why it stands out

262K-token context window handles longer documents and multi-turn conversations without truncation.

Tool use support makes it viable for function-calling and agentic pipelines.

$0.12/M input makes it practical for always-on agents, batch processing, or high-volume classification.

What to watch

Text-only input — image or audio workflows require a separate model in the pipeline.

No benchmark score currently tracked — evaluate using task-specific testing alongside pricing and capability data.

Release timeline

Tracked events for Qwen: Qwen3 Coder Next.

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release

Qwen: Qwen3 Coder Next entered the tracked catalog

February 4, 2026

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Recent changes

LaunchFeb 4

Qwen launched Qwen: Qwen3 Coder Next

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