The model demonstrates exceptional performance in recent mathematics competitions, achieving gold-level scores on IMO 2025 and CMO 2024, and nearly perfect results on Putnam 2024. This success is attributed to its unique architecture, which combines a proof generator with a verifier that continuously evaluates and refines the reasoning process. By scaling test-time compute and leveraging automated labeling of hard-to-verify proofs, DeepSeek-Math-V2 creates a feedback loop that further improves both the generator and verifier, making it one of the most capable models for mathematical reasoning tasks available today.
Built on top of DeepSeek-V3.2-Exp-Base, DeepSeek-Math-V2 is optimized for inference tasks and is supported by a robust open-source ecosystem. The model is licensed under the Apache License, Version 2.0, making it accessible for research and development in both academic and commercial settings. With thousands of downloads and a growing user base, DeepSeek-Math-V2 is becoming a go-to tool for anyone seeking to automate or enhance mathematical reasoning, from students to professional researchers.
