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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 Qwen3.8-2.4T-A95B?

Qwen3.8-2.4T-A95B emerges as the largest open model in the Qwen3.8 series, presenting advanced Qwen-Max-class capabilities in a format that is accessible to the public. Built on the robust foundation of Qwen3.5, this model offers marked improvements in performance across various domains, including coding, professional applications, research, and complex, extended agentic tasks, underscoring its ability to reliably execute intricate, multi-step workflows to completion. With its innovative mixture-of-experts architecture, it features a remarkable total of 2.4 trillion parameters, of which 95 billion are activated, utilizing 512 experts and allowing for simultaneous engagement of 10 routed experts alongside one shared expert. The model supports a native context length of 262,144 tokens, extendable to about 1.01 million tokens, thereby enabling considerable adaptability for diverse applications. Additionally, enhancements in agent execution, such as superior autonomous planning and improved responsiveness to environmental cues, enhance its overall efficiency. Its extensive compatibility with popular agent frameworks and development tools further aids in smooth integration into current systems, making it an appealing option for both developers and researchers. This versatility is particularly beneficial for those seeking to leverage advanced AI capabilities in their projects.

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Integrations Supported

Integrations Supported

Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
Cline
ClinePass
Hermes Agent
Hugging Face
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud
QwenWork

API Availability

API Availability

Has API

Pricing Information

$5 minimum credit top-up

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

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 Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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