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Model details

Qwen3-Coder-Plus

Qwen3-Coder-Plus is Alibaba's proprietary adaptation of the open-source Qwen3 Coder 480B A35B, engineered specifically for autonomous programming tasks. Rather than serving as a general-purpose chatbot, this model is purpose-built as a coding agent that excels at tool calling, environment interaction, and writing code that executes against real systems. The design philosophy centers on combining deep coding proficiency with broader general-purpose reasoning, enabling developers to delegate multi-step programming workflows rather than just single prompts. Its benchmark results on the n8n AI evaluation tell a striking story: it scores 89 out of 100 on logic tasks (ranking third among evaluated models), achieves a 92 on structured output generation (second place), and delivers a notably low hallucination rate of 97 (second place), suggesting that the model stays grounded in factual, accurate responses even when reasoning through complex coding problems.

The model's origin as a proprietary derivative of the open-source Qwen3 Coder 480B A35B points to a lineage of large-scale language model training refined through Alibaba's internal development. This heritage shapes its practical strengths in real-world deployment contexts where developers need reliable, steerable coding assistance. The emphasis on tool calling and environment interaction reflects a post-training focus on agentic capabilities—the ability to not just generate code but to plan, iterate, and work alongside external systems. Users have reported success using it for autonomous programming workflows where the model manages APIs, files, and toolchains rather than simply answering questions. Its strong structured output performance also makes it suitable for scenarios requiring programmatically parseable responses, such as automated pipelines or developer tooling that consumes machine-readable formats.

ZenMuxqwen/qwen3-coder-plus

Quick Info

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Provider
ZenMux
Model key
qwen/qwen3-coder-plus
Release date
Jul 23, 2025
Last updated
Jul 23, 2025
Knowledge cutoff
2025-01-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.00
Output token cost
$5.00

Limits

Output tokens
64,000 tokens
Context window
1,000,000 tokens

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