models/qwen/qwen3-5-plus-20260420
Q
Qwen·active

Qwen: Qwen3.5 Plus 2026-04-20

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

Overall score
4.62
/5.00 · ranked #5
Input
$0.400
per 1M tokens
Output
$2.40
per 1M tokens
Context
1M
tokens
Blended
$1.90
3:1 out:in ratio

Price drops, new benchmarks, model updates. Stay current on Qwen: Qwen3.5 Plus 2026-04-20.

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Scores by test

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

What you need to know

Qwen3.5 Plus is a high-performance model optimized for complex reasoning and massive data ingestion. Its primary differentiator is the combination of a 1M token context window and a perfect 5/5 internal score for long context, structured output, and strategic analysis. This makes it highly reliable for extracting data from vast documents or maintaining strict schema adherence in production pipelines.

At a blended cost of $1.90/MTok, the model is positioned as a mid-to-high tier option. Given its rank as #6 out of 76 models and a high average internal score of 4.67/5.0, the pricing is justified by its ability to handle strategic tasks that typically require more expensive frontier models. It maintains high persona consistency, ensuring stable behavior across long-form interactions.

The model shows minimal degradation in performance, though it is slightly less effective at basic classification and safety calibration compared to its strategic capabilities. These 4/5 scores indicate a slight dip in precision for simple labeling tasks, but they do not significantly impact its overall utility for complex engineering workflows.

Use this model if your application requires processing extremely large datasets, generating precise structured JSON, or executing complex strategic analysis. Skip this model if you only need a lightweight classifier or a low-cost model for simple, short-form queries.

Strengths — Top 3

Structured Output5.0/5.0
Strategic Analysis5.0/5.0
Creative Problem Solving5.0/5.0

Relative weaknesses — Bottom 3

Constrained Rewriting3.0/5.0
Tool Calling4.0/5.0
Classification4.0/5.0

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