DeepSeek-V3
DeepSeek-V3 is an AI model published by DeepSeek-AI, released on 2024-12-26, for Chat model, with 681B parameters, and 128K context length, requiring about 687.9 GB storage, under the DEEPSEEK LICENSE AGREEMENT license, with a 92.30 score on BBH.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
DeepSeek-V3 currently shows benchmark results led by BBH (3 / 20, score 92.30), MATH (7 / 42, score 87.80), HumanEval (9 / 39, score 89). 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 is an AI model published by DeepSeek-AI, released on 2024-12-26, for Chat model, with 681B parameters, and 128K context length, requiring about 687.9 GB storage, under the DEEPSEEK LICENSE AGREEMENT license, with a 92.30 score on BBH.
Follow DataLearner on WeChat for AI model updates and research notes.
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
