Newsletter
Subscribe online
Subscribe to our newsletter for the latest news and updates
Reka Flash 3 is a newly released multimodal language model with 2.1 billion parameters, designed for efficient reasoning and generation.
QVQ-Max is a vision reasoning model developed by Alibaba, based on Qwen2-VL-72B. It is designed to enhance AI’s capabilities in visual understanding and solving complex problems.
Reka Flash 3 is a newly released multimodal language model with 2.1 billion parameters, designed for efficient reasoning and generation.
Advanced Reasoning Ability
Reka Flash 3 excels at complex reasoning tasks. It uses special tags (e.g., <reasoning>
) to make its internal thought process more transparent and interpretable.
Compact Architecture
Despite having 2.1 billion parameters, the model is designed for computational efficiency. It supports low-latency performance and can be deployed locally or on-device. It also supports 4-bit quantization, compressing the model to just 11GB for lightweight deployment.
Long Context Window
With a 32,000-token context window, Reka Flash 3 can handle long documents and complex tasks without performance degradation.
Instruction Tuning
The model has been fine-tuned on carefully curated datasets, enhancing its ability to follow intricate instructions accurately across a wide range of tasks.
Budget Enforcement Mechanism
Reka Flash 3 introduces a budget enforcement mechanism that allows users to limit the model’s reasoning steps, improving output efficiency. This feature helps generate faster, more practical responses for specific tasks.
Multimodal Capabilities
The model supports text, image, video, and audio inputs, making it versatile for various applications such as dialogue interactions, content creation, and code assistance.
Open Source and Accessibility
Reka Flash 3 is open source, with model weights released under the Apache 2.0 license, allowing developers to freely access and integrate it into their projects — contributing to the advancement of open-source AI.
General Conversations
Reka Flash 3 enables natural, fluent conversations, making it ideal for chatbots and virtual assistants, offering an intuitive user interaction experience.
Code Assistance
The model excels in coding tasks, generating code snippets, debugging, and providing programming suggestions — perfect for integration into IDE smart assistants.
Instruction Following
With its instruction-tuned design, Reka Flash 3 precisely interprets and executes complex commands, making it suitable for smart home control, workflow automation, and other command-driven scenarios.
Function Calling
The model supports function calling, enabling it to execute predefined functions in specific programming environments, enhancing its utility in data processing and software development.
Multimodal Processing
With support for text, image, video, and audio, Reka Flash 3 fits a range of content creation, intelligent customer service, educational support, and information retrieval scenarios.
Long-Text Processing
Thanks to its 32,000-token context length, the model excels at long-document analysis, making it ideal for legal text processing, academic research, and business reports — any task requiring in-depth comprehension.
Low Latency and Local Deployment
Reka Flash 3’s efficient architecture supports fast, on-device deployment, making it suitable for mobile apps and edge computing environments that require quick response times.