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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 Qwen2.5-1M?

The Qwen2.5-1M language model, developed by the Qwen team, is an open-source innovation designed to handle extraordinarily long context lengths of up to one million tokens. This release features two model variations: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, marking a groundbreaking milestone as the first Qwen models optimized for such extensive token context. Moreover, the team has introduced an inference framework utilizing vLLM along with sparse attention mechanisms, which significantly boosts processing speeds for inputs of 1 million tokens, achieving speed enhancements ranging from three to seven times. Accompanying this model is a comprehensive technical report that delves into the design decisions and outcomes of various ablation studies. This thorough documentation ensures that users gain a deep understanding of the models' capabilities and the technology that powers them. Additionally, the improvements in processing efficiency are expected to open new avenues for applications needing extensive context management.

Media

No images available

Media

Integrations Supported

Integrations Supported

Alibaba Cloud
C
C++
CSS
Clojure
Elixir
F#
Hugging Face
Java
JavaScript
Julia
Kotlin
LM-Kit.NET
ModelScope
Python
R
Rust
SQL
Scala
Visual Basic

API Availability

API Availability

Has API

Pricing Information

$5 minimum credit top-up

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem

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

qwenlm.github.io/blog/qwen2.5-1m/

Categories and Features

LLM API

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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Popular Alternatives

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