Qwen: Qwen3.8 Flash
Qwen's efficiency model. Long-context specialist with 1M window.
Scores by test
Methodology →What you need to know
Qwen3.8 Flash distinguishes itself through high-precision structured output and strategic analysis, both achieving perfect internal scores. These capabilities, combined with a 1M token context window that performs at a top-tier level, make it a strong candidate for complex data extraction and long-document synthesis where structural integrity is non-negotiable.
The model is priced competitively for a flash-tier offering, with a blended cost of $0.390/MTok. Given its rank of 79 out of 160 models and an average internal score of 4.36, it provides a high ratio of intelligence to cost, particularly for multilingual applications where it maintains a perfect 5/5 score.
While the model is balanced across most categories, its relative weaknesses lie in tool calling and faithfulness, though these still score a respectable 4/5. It does not exhibit critical failures, but developers should implement stricter validation for agentic workflows compared to the model's high performance in static analysis.
Use this model if you need a low-cost solution for processing massive contexts, multilingual translation, or generating strictly formatted JSON and schema-based outputs. Skip this model if your primary requirement is high-reliability autonomous tool use or absolute faithfulness in zero-shot factual retrieval.
Strengths — Top 3
Relative weaknesses — Bottom 3
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