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What is Vynaris?

Vynaris equips teams with powerful hosted models that are unfiltered and specifically tailored for sanctioned security evaluations, red teaming activities, and investigative research. These models, including Qwen3.8-27B, DeepSeek-V4-Flash-0731, and Qwen3.6-35B-A3B, are available through an OpenAI-compatible API, complete with publicly available token pricing and a commitment to not retaining prompts or outputs. Furthermore, Vynaris improves user experience by routing requests to a broader selection of models and providing detailed cost breakdowns for each request, enabling applications to effortlessly switch between models by simply modifying the base URL while also allowing users to keep track of the costs incurred for each individual request. This cutting-edge approach not only enhances adaptability but also fosters greater transparency in usage expenses for both developers and teams, thereby improving overall operational efficiency. By offering these capabilities, Vynaris ensures that teams can conduct their activities with confidence and clarity.

What is Qwen3.5-Plus?

Qwen3.5-Plus is a next-generation multimodal large language model built for scalable, enterprise-grade reasoning and agentic applications. It combines linear attention mechanisms with a sparse mixture-of-experts architecture to maximize inference efficiency while maintaining performance comparable to leading frontier models. The system supports text, image, and video inputs, generating high-quality text outputs suited for analysis, synthesis, and tool-augmented workflows. With a 1 million token context window and support for up to 64K output tokens, Qwen3.5-Plus enables deep, long-form reasoning across extensive documents and datasets. Its optional deep thinking mode allows for expanded chain-of-thought reasoning up to 80K tokens, making it ideal for complex analytical and multi-step problem-solving tasks. Developers can integrate structured outputs, function calling, prefix continuation, batch processing, and explicit caching to optimize both performance and cost efficiency. Built-in tool support through the Responses API includes web search, web extraction, image search, and code interpretation for dynamic multi-agent systems. High throughput limits and OpenAI-compatible API endpoints make deployment straightforward across global applications. With transparent token-based pricing and enterprise-level monitoring, Qwen3.5-Plus provides a powerful foundation for building intelligent assistants, multimodal analyzers, and scalable AI services.

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Integrations Supported

Integrations Supported

Alibaba AI Coding Plan
Alibaba Cloud Model Studio
OpenClaw
Qwen3.5
Shiori
Tabbit Browser

API Availability

API Availability

Has API

Pricing Information

$5 minimum credit top-up

Pricing Information

$0.4 per 1M tokens
Input: $0.4 per 1M tokens
Output: $2.4 per 1M tokens

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Vynaris

Date Founded

2025

Company Location

United Kingdom

Company Website

vynaris.com

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Categories and Features

LLM API

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

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