Qwen: Qwen3.6 35B A3B
Qwen's mid-tier model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
Qwen3.6 35B A3B is defined by its high reliability across structured tasks and long-form data processing. With a 262K context window and perfect internal scores for faithfulness, tabular data, and structured output, it is optimized for precision-heavy workflows where hallucination must be minimized. Its ability to maintain persona consistency and multilingual accuracy makes it a strong candidate for global, customer-facing deployments.
At a blended cost of $0.785/MTok, the model offers a high performance-to-price ratio. It ranks 36th out of 130 models, suggesting it delivers near-frontier capabilities at a mid-tier price point. While it excels in strategic analysis and safety calibration, it shows a relative weakness in classification, where it scores a 3/5, indicating it may struggle with nuanced labeling tasks compared to its strength in data extraction.
Use this model for RAG applications requiring large context windows, complex data extraction from tables, or multilingual agents where strict adherence to constraints is required. Skip this model for high-volume classification tasks or projects requiring top-tier creative problem solving and autonomous agentic planning.
Strengths — Top 3
Relative weaknesses — Bottom 3
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