DeepSeek has launched its V3.2 model series, reaching parity with GPT-5 and Gemini 3.0 Pro through a...
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The article validates the Frame 2 debate (CN/OSS challenger) by demonstrating DeepSeek's ability to achieve frontier parity via architectural efficiency rather than massive compute spend.
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DeepSeek has launched its V3.2 model series, reaching parity with GPT-5 and Gemini 3.0 Pro through an open-weight framework. The 685B parameter Mixture-of-Experts system achieved gold-medal status in the 2025 Mathematical Olympiad and led coding benchmarks with a 46.4% score. By slashing training costs to 5.6M USD and cutting inference overhead by 50%, DeepSeek is decoupling frontier AI from massive hardware budgets. This marks a systemic shift toward radical architectural efficiency. 🚀 🌐
