Qwen: Qwen3.5 Plus 2026-02-15

Image input Text input Video input Text output
Author's Description

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of task evaluations, the 3.5 series consistently demonstrates performance on par with state-of-the-art leading models. Compared to the 3 series, these models show a leap forward in both pure-text and multimodal capabilities.

Key Specifications
Cost
$$$
Context
1M
Released
Feb 16, 2026
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Presence Penalty Tools Response Format Structured Outputs Temperature Top P Tool Choice Max Tokens Seed Reasoning Include Reasoning
Features

This model supports the following features:

Reasoning Structured Outputs Tools Response Format
Performance Summary

Qwen3.5 Plus 2026-02-15, from provider qwen, demonstrates exceptional speed, consistently ranking among the fastest models available. It also offers highly competitive pricing across various benchmarks. With an 88% success rate, the model exhibits strong reliability, indicating few technical issues. In terms of specific performance, Qwen3.5 Plus excels in acknowledging uncertainty, achieving perfect accuracy in the Hallucinations (Baseline) test by correctly identifying fictional concepts. It also shows solid performance in Email Classification with 97.6% accuracy. However, the model exhibits significant weaknesses in several core areas, including General Knowledge, Coding, Reasoning, Ethics, and Mathematics, where it scored 0.0% accuracy. Its Instruction Following capability is moderate at 66.3%. This suggests a model highly specialized in certain tasks, particularly those requiring precise information filtering or classification, but lacking broad foundational knowledge and complex reasoning skills. Its hybrid architecture and integration of linear attention mechanisms with sparse mixture-of-experts models appear to contribute to its efficiency, but further development is needed to enhance its cognitive capabilities across a wider range of challenging benchmarks.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.4
Completion $2.4

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Alibaba
Alibaba | qwen/qwen3.5-plus-20260216 1M $0.4 / 1M tokens $2.4 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
Other Models by qwen