Mistral's Magistral: POWERFUL Opensource Reasoning Model Beats Deepseek R1/V3! (Fully Tested)

Описание: The Mistral team is back with Magistral — their first-ever reasoning-focused model, designed for domain-specific, transparent, and multilingual reasoning! In this video, I fully test Magistral Small (24B open-source) and compare it directly with DeepSeek R1 and V3 models.

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[Link's Used]:
Blog: https://mistral.ai/news/magistral
Le Chat: https://chat.mistral.ai/chat
Kilo Free Api: https://kilocode.ai/
Model Card: https://huggingface.co/mistralai/Magi...

💡 Magistral delivers:
✅ Powerful chain-of-thought reasoning
✅ Native multilingual capabilities (English, French, Spanish, German, Chinese & more)
✅ Enterprise-level structured logic, programmatic reasoning & decision trees
✅ Up to 10x faster inference with Flash Answers (Magistral Medium)
✅ Local deployment on RTX 4090 or MacBook 32GB RAM (Magistral Small)

We break down its AIME2024 benchmark scores, deployment options, community impact, and why this model might push opensource reasoning to the next level.

📄 Benchmarks:
Magistral Medium: 73.6% AIME2024 (90% with majority voting)
Magistral Small: 70.7% AIME2024 (83.3% with voting)

🔬 Mistral also released a full research paper detailing their reinforcement learning algorithms, novel training observations, and evaluation framework.

👉 Watch the full breakdown to see if Magistral is the next big opensource reasoning model!

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Tags (split by commas):
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Hashtags:
#mistralai #magistral #opensourceai #deepseek #AIModelComparison #ReasoningAI #ai2025 #chainofthought #llm #artificialintelligence