DeepSeekMath-V2
DeepSeekMath-V2 is an AI model published by DeepSeek-AI, released on 2025-11-27, for Reasoning model, with 6850.0B parameters, and 108K tokens context length, under the Apache 2.0 license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
DeepSeekMath-V2 currently shows benchmark results led by IMO-ProofBench (1 / 16, score 99), IMO-ProofBench Advanced (1 / 8, score 61.90). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
DeepSeekMath-V2 is an AI model published by DeepSeek-AI, released on 2025-11-27, for Reasoning model, with 6850.0B parameters, and 108K tokens context length, under the Apache 2.0 license.
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