models/qwen/qwen3-6-flash
Q
Qwen·active

Qwen: Qwen3.6 Flash

Qwen's mid-tier model. Long-context specialist with 1M window.

Overall score
4.23
/5.00 · ranked #51
Input
$0.188
per 1M tokens
Output
$1.13
per 1M tokens
Context
1M
tokens
Blended
$0.891
3:1 out:in ratio

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Scores by test

Methodology →
Structured Output
5.0
Strategic Analysis
5.0
Constrained Rewriting
4.0
Creative Problem Solving
4.0
Tool Calling
3.0
Faithfulness
5.0
Classification
3.0
Long Context
4.0
Safety Calibration
2.0
Persona Consistency
5.0
Agentic Planning
5.0
Multilingual
5.0
Tabular Data
5.0
AIME 2025
86.1

What you need to know

Qwen3.6 Flash is primarily a high-precision utility model, excelling in structured output, faithfulness, and strategic analysis. With perfect 5/5 scores across tabular data, agentic planning, and multilingual tasks, it is optimized for complex data transformation and logical reasoning. Its 1M token context window allows for processing massive datasets without sacrificing the accuracy of its structured responses.

The pricing is aggressive for the performance tier, with a blended cost of $1.19/MTok. This makes it a cost-effective option for high-volume pipelines that require rigorous adherence to schemas or complex strategic breakdowns. However, developers should note a significant deficiency in safety calibration (2/5) and mediocre performance in basic classification and tool calling (3/5), suggesting it is less reliable as a standalone autonomous agent or a public-facing chatbot.

Use this model for data extraction, multilingual strategic analysis, and tasks requiring strict formatting or high faithfulness to source text. Skip this model if your application requires robust safety guardrails, high-accuracy classification, or heavy reliance on tool-calling integration.

Strengths — Top 3

Structured Output5.0/5.0
Strategic Analysis5.0/5.0
Faithfulness5.0/5.0

Relative weaknesses — Bottom 3

Safety Calibration2.0/5.0
Tool Calling3.0/5.0
Classification3.0/5.0

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