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In this video, I'll be fully testing the Mistral Small-2 (22B) Model to check if it's really good. I'll also be trying to find out if it can really beat Llama-3.1, Qwen2, Claude 3.5 Sonnet, GPT-4O & DeepSeek. This model is fully opensource and can be used locally for FREE. It is even better in Coding Tasks and is also really good at doing Text-To-Application, Text-To-Frontend and other things as well. I'll be testing it to find out if it can really beat other LLMs and i'll also be telling you that how you can use it.
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Key Takeaways:
🔥 Mistral's New Free Tier API allows developers to experiment, evaluate, and prototype without cost! Perfect for small AI projects and testing models.
💸 Huge Price Drops across all models, with Nemo and Pixtral now available at nearly half the price, making AI development cheaper than ever.
🚀 The upgraded Mistral Small Model with 22 billion parameters offers improved human alignment, reasoning, and coding capabilities—ideal for advanced AI tasks.
📊 Updated Benchmarks showcase Mistral Small's performance improvements—great for personal projects, research, and more!
🛑 Mistral Research License means the small model is available for non-commercial use only, but you can still access it for research and personal AI work.
🔗 Model weights for Mistral Small are now available on Ollama and HuggingFace, making it easy to deploy for local usage on various platforms.
💥 Mistral’s API can be integrated with OpenRouter and OpenWebUI for seamless AI development, so you can leverage the best AI tools for your next project!
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Timestamps:
00:00 - Introduction
00:07 - About New Mistral Small 2 Model & New Free API Tier
03:23 - Testing Mistral Small 2
09:08 - Ending
