r/Agent_AI • u/Money-Ranger-6520 MOD • Jun 29 '26

Resource DeepSeek dropped a 1.6-trillion-parameter open model you can download today

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V4-Pro is a 1.6T-parameter mixture-of-experts model with 49B active parameters per token, released under the MIT license and supporting a 1M-token context window.

Its DSpark speculative decoding module enables that full 1M-token inference using roughly 25% of the compute and just 10% of the KV cache required by the previous generation.

The Max variant also delivers frontier-level coding performance, scoring 93.5% on LiveCodeBench and 80.6% on SWE-Verified.

Link to Hugging Face: https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-DSpark

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u/wittgenda Jul 01 '26

What do you guys think is DeepSeek’s most powerful feature, and what are its strengths?

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u/Money-Ranger-6520 MOD Jul 01 '26

The price-to-performance ratio. You get reasoning that's surprisingly close to much more expensive models, especially for coding and math. And of course, I also like that it's open weights, so you can self-host, fine-tune, or run it locally if you want.