DeepSeek-V3.2-Exp
DeepSeek-V3.2-Exp is an AI model published by DeepSeek-AI, released on 2025-09-29, for Reasoning model, with 6710.0B parameters, and 128K tokens context length, requiring about 1342GB storage, under the MIT License license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
DeepSeek V3.2-Exp currently shows benchmark results led by SimpleQA (1 / 45, score 97.10), MMLU Pro (23 / 124, score 85), Aider-Polyglot (7 / 26, score 74.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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DeepSeek-V3.2-Exp is an AI model published by DeepSeek-AI, released on 2025-09-29, for Reasoning model, with 6710.0B parameters, and 128K tokens context length, requiring about 1342GB storage, under the MIT License license.
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