Reka Core
PaidFrontier-class multimodal language model
About Reka Core
Reka Core is a frontier-class multimodal language model developed by Reka. It is trained from scratch on thousands of GPUs over a few months and is competitive with leading models from OpenAI (GPT-4V), Anthropic (Claude-3 Opus), and Google (Gemini Ultra) across key benchmarks. Core excels in multimodal understanding of images, videos, and audio, as well as language tasks, reasoning, coding, and agentic workflows. It supports a 128K context window, multilingual capabilities (pretrained on 32 languages), and offers flexible deployment via API, on-premises, or on-device. Reka Core is one of only two commercially available comprehensive multimodal solutions, enabling diverse use cases in industries like e-commerce, social media, digital content, video games, healthcare, and robotics. Key partners include Snowflake, Oracle, and AI Singapore.
Key Features
Pros & Cons
- Competitive or superior performance vs. GPT-4V, Claude-3 Opus, Gemini Ultra on multimodal and language tasks
- Efficient training on thousands of GPUs in a few months
- Comprehensive multimodal input (image, video, audio, text) – one of only two commercially available
- Flexible deployment options (API, on-premises, on-device) for varied customer needs
- Strong coding and agentic workflow capabilities
- New model with limited public community and documentation
- Pricing only available on contact basis, no transparent pricing
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