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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
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Integrations Supported
Alibaba Cloud
C
C++
CSS
Clojure
Elixir
F#
Hugging Face
Java
JavaScript
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