DeepSeek released V3.2 and V3.2-Speciale, 685B-parameter open-source models matching GPT-5 on reason...
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DeepSeek's release validates the Frame 2 debate (CN/OSS challenger) by proving open-weight models can match frontier reasoning performance and simultaneously collapse inference costs via architectural efficiency.
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DeepSeek released V3.2 and V3.2-Speciale, 685B-parameter open-source models matching GPT-5 on reasoning benchmarks and hitting IMO gold in math tasks. π Sparse attention cuts inference costs 50% with 131k context, enabling free agentic AI at scale. Open models now lead frontier performance, forcing proprietary giants to slash prices and open up. #AI #DeepSeek #OpenSource #LLMs
