Qwen: Qwen3.5 Plus 2026-02-15

Video input Image input Text 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...

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

This model supports the following parameters:

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

This model supports the following features:

Structured Outputs Reasoning Tools Response Format
Performance Summary

Qwen3.5 Plus 2026-02-15 demonstrates exceptional speed, consistently ranking among the fastest models across 8 benchmarks, and offers highly competitive pricing, placing it among the most cost-effective options in its class. With an 88% success rate across 8 benchmarks, its reliability is strong, indicating few technical issues. In terms of specific performance, the model achieves perfect accuracy in the Hallucinations (Baseline) benchmark, effectively acknowledging uncertainty for fictional concepts. This makes it the most accurate model at its price point and among models of comparable speed for this task. It shows moderate capability in Instruction Following, with 66.3% accuracy. However, the model exhibits significant limitations in several core areas, scoring 0.0% accuracy in General Knowledge, Coding, Reasoning, Ethics, and Mathematics benchmarks. While it performs reasonably well in Email Classification with 97.6% accuracy, the widespread 0% scores in complex cognitive and knowledge-based tasks highlight a critical weakness in these domains. The model's hybrid architecture and integration of linear attention mechanisms with sparse mixture-of-experts models appear to contribute to its efficiency, but its current iteration struggles with tasks requiring deep understanding, logical inference, and extensive factual recall.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.26
Completion $1.56
Input Cache Write $0.325

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Alibaba
Alibaba | qwen/qwen3.5-plus-20260216 1M $0.26 / 1M tokens $1.56 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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