DeepSeek Prover-V2: The AI That Cracks Formal Math Proofs at 88.9% Accuracy

 

DeepSeek Prover-V2: The AI That Cracks Formal Math Proofs at 88.9% Accuracy

671B Parameters, Open Source, and Superhuman Math Reasoning

DeepSeek has launched Prover-V2, an advanced 671-billion parameter theorem-proving model that combines informal reasoning with formal proof verification. Achieving an impressive 88.9% pass rate on the MiniF2F benchmark and solving 49 out of 658 elite Putnam problems, this release marks a breakthrough in AI-driven mathematical logic.

What Is DeepSeek Prover-V2?

Designed for use within the Lean 4 proof assistant, DeepSeek Prover-V2 bridges the gap between large language models and formal verification systems. Unlike traditional LLMs, it generates machine-checkable proofs—allowing mathematicians to validate every logical step precisely and automatically.

Hybrid “Cold-Start” Training Pipeline

  • Subgoal Decomposition: DeepSeek-V3 breaks down complex theorems into manageable lemmas using natural-language prompts.
  • Chain-of-Thought Synthesis: Each subgoal is translated into Lean 4 code as part of the proof generation process.
  • Reinforcement Learning: Final outputs are used to fine-tune Prover-V2, aligning creative LLM thinking with rigorous mathematical logic.

Unmatched Benchmark Performance

New State-of-the-Art Results

  • MiniF2F-test: 88.9% pass rate – the highest ever recorded.
  • PutnamBench: Solves 49 / 658 undergraduate-level competition problems.
  • AIME Problems: Successfully proves 6 / 15 high-school Olympiad questions.

ProverBench: A New Evaluation Standard

To expand real-world testing beyond abstract datasets, DeepSeek introduces ProverBench—a comprehensive evaluation suite featuring 325 diverse math challenges:

  • AIME 2024–25 Questions: 15 real high-school Olympiad problems in number theory and algebra.
  • Textbook Examples: 310 curated exercises from academic sources, ensuring pedagogical breadth.
  • Cross-Domain Challenges: Includes calculus, combinatorics, and logic to test robustness across fields.

Why It Matters

With Prover-V2, DeepSeek pushes AI into domains previously reserved for expert mathematicians:

  • Superhuman Math Abilities: Enables breakthroughs in physics simulations, drug discovery, and materials science through precise proof-based modeling.
  • Open-Source Collaboration: Released under MIT license, accelerating global research in formal methods and automated theorem proving.
  • Lead-Up to R2: As anticipation builds for DeepSeek's upcoming R2 model, Prover-V2 demonstrates the company’s leadership in advanced reasoning capabilities.
“This isn’t just about solving equations—it’s about building trust in AI-generated mathematics.”

Ready to Explore Prover-V2?

Conclusion

With the launch of DeepSeek Prover-V2, artificial intelligence has taken a major leap toward mastering formal mathematical reasoning. This groundbreaking model not only solves complex proofs but also sets a new standard for rigor, openness, and collaboration in AI research—ushering in a new era where machines assist humans in pushing the boundaries of science and logic.

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