DeepSeek-V3.1
DeepSeek-V3.1 is an AI model published by DeepSeek-AI, released on 2025-08-20, for Chat model, with 671B parameters, and 128K context length, requiring about 1340GB storage, under the MIT License license, with a 93.40 score on MMLU.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
DeepSeek-V3.1 currently shows benchmark results led by MMLU (1 / 65, score 93.40), SimpleQA (4 / 45, score 93.40), AIME 2024 (7 / 62, score 93.10). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
DeepSeek-V3.1 is an AI model published by DeepSeek-AI, released on 2025-08-20, for Chat model, with 671B parameters, and 128K context length, requiring about 1340GB storage, under the MIT License license, with a 93.40 score on MMLU.
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