What is Reka Flash 3?
Reka Flash 3 is a 21-billion parameter, general-purpose reasoning model designed for applications requiring speed and efficiency. Trained from scratch, it offers a compelling balance of performance and resource utilization, making it ideal for deployments where low latency or on-device operation is crucial. It represents a best-in-class solution among open models of comparable size.
Key Features:
🤖 Optimized Architecture: Built for rapid inference, Reka Flash 3 delivers competitive performance with models like OpenAI's o1-mini, minimizing response times.
⚙️ Streamlined Training: The model was developed using a combination of synthetic and public datasets for supervised fine-tuning, followed by RLOO (Reinforcement Learning from Offline Optimization) with model-based and rule-based rewards.
💻 Flexible Deployment: Released in a Llama-compatible format, Reka Flash 3 integrates seamlessly with popular libraries like Hugging Face Transformers and vLLM.
🗣️ Structured Prompting: Utilizes the
cl100k_basetokenizer with a clear prompt format (human: ... <sep> assistant: ... <sep>) for consistent and predictable interactions.🧠 Controlled Reasoning: Features a "thinking" process with explicit start/end tags, allowing for budget forcing to manage computational resources and control response generation time.
Technical Details:
Model Size: 21 Billion Parameters
Tokenizer:
cl100k_basePrompt Separator:
<sep>End-of-Text Token:
<|endoftext|>Primary Language: English (with some multilingual capabilities)
Training: Synthetic and public datasets, RLOO
Use Cases:
Real-time Chatbots: Deploy responsive and intelligent chatbots for customer service or interactive applications, leveraging Reka Flash 3's low latency to provide instant feedback.
On-Device AI Assistants: Integrate Reka Flash 3 into mobile applications or embedded systems to enable natural language processing capabilities without relying on constant cloud connectivity.
Rapid Prototyping: Quickly build and test AI-powered features and applications, taking advantage of Reka Flash 3's ease of deployment and efficient performance. For instance, it can be used as the core of custom AI workers within the Nexus platform, enhancing those agents with reasoning and response generation.
Conclusion:
Reka Flash 3 offers a powerful yet efficient solution for developers seeking a high-performing, open-source reasoning model. Its optimized architecture, flexible deployment options, and controlled reasoning capabilities make it a valuable tool for a wide range of applications where speed and resource management are paramount.
More information on Reka Flash 3
Launched
Pricing Model
Free
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used
Reka Flash 3 was manually vetted by our editorial team and was first featured on 2025-03-13.
Related Searches
Reka Flash 3 Alternatives
Load more Alternatives-
Unlock powerful AI for agentic tasks with LongCat-Flash. Open-source MoE LLM offers unmatched performance & cost-effective, ultra-fast inference.
-
DeepCoder: 64K context code AI. Open-source 14B model beats expectations! Long context, RL training, top performance.
-
-
Discover EXAONE 3.5 by LG AI Research. A suite of bilingual (English & Korean) instruction - tuned generative models from 2.4B to 32B parameters. Support long - context up to 32K tokens, with top - notch performance in real - world scenarios.
-
Explore DeepSeek-R1, a cutting-edge reasoning model powered by RL, outperforming benchmarks in math, code, and reasoning tasks. Open-source and AI-driven.