Deepseek-R1-0528: BEST Opensource Reasoning Model! Powerful, Fast, & Cheap! Fully Tested + Free API


Summary

The video introduces the DeepseekR10528 model, an upgraded open-source model with 37 billion active parameters using a sparse mixture of experts. It discusses the model's performance in tasks like question answering and reasoning, comparing it with other models like O4 mini and 03 MMLU. The video also mentions a free guide from HubSpot comparing AI assistants and provides details on accessing the free API from Open Router for reasoning and coding tasks. Demonstrations showcase the model's efficiency in answering complex questions, unit conversion, coding tasks, and creating visually appealing content like a sunset skybox. Additionally, the video evaluates the model's common sense thinking abilities in real-world scenarios and encourages supporting the channel through options like subscriptions and daily AI news updates.


Introduction of DeepseekR10528

Introduction of the new upgraded open-source model, DeepseekR10528, with 37 billion active parameters leveraging a sparse mixture of experts.

Deepseek0528 Details and Release

Details about the Deepseek0528 model release with information on its parameters, license, and initial reports indicating its powerful performance.

Comparison with Other Models

Comparison of Deepseek0528 with models like O4 mini and 03 MMLU, showcasing its competitive performance in tasks such as hard question answering and general reasoning ability.

AI Assistants Comparison Guide

Introduction to a free guide from HubSpot comparing AI assistants like Chat GBT, Claude, and Gemini, providing insights on workflow and AI tools.

Access to Open Router API

Information on accessing the free API from Open Router with no rate limits, pricing details, and capabilities in reasoning and coding tasks.

Model Performance and Capabilities

Demonstration of the model's performance in answering complex questions, unit conversion tasks, and maintaining numerical consistency, highlighting the efficiency of the reasoning model.

Model Coding and Animation

Exploration of the model's coding capabilities and animation generation, showcasing its ability to add features and create visually appealing content like a beautiful sunset skybox.

Assessment of Common Sense

Evaluation of the model's common sense thinking through scenarios like predicting outcomes of using an umbrella in the rain, demonstrating the model's ability to assess real-world situations.

Support Options and Subscriptions

Information on supporting the channel through different options like the thanks button, subscriptions, and daily AI news, encouraging viewers to stay updated and engage with the content.

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