Self-Verification Mechanism
DeepSeek-Math-V2 is the first mathematical AI with built-in capability to verify its own reasoning process, ensuring logical correctness beyond just answer accuracy.
DeepSeek-Math-V2 Released November 27, 2025
Chat with DeepSeekMathV2
Free AI Math Assistant Powered by IMO Gold Medal Model
Experience the world's most advanced mathematical reasoning through our free DeepSeekMathV2 chat interface. Powered by a groundbreaking 685B parameter model that achieved IMO Gold Medal performance, DeepSeekMathV2 chat delivers step-by-step solutions with self-verifiable reasoning for complex math problems, theorem proving, and academic research. Start chatting with DeepSeekMathV2 today – completely free.
685B
Parameters
99%
IMO-ProofBench Basic
118/120
Putnam 2025
A Remarkable Coincidence
Two days before DeepSeekMath V2's release, AI godfather Ilya Sutskever raised a profound question...
Ilya Sutskever (Former OpenAI Chief Scientist) discusses the gap between AI evaluation performance and real-world capabilities in his latest podcast
Ilya's Concern
Current AI models achieve extraordinary scores on benchmarks but perform poorly in the real world. They're like Student A who spent 10,000 hours on competition prep to become a champion, yet lacks the deeper understanding of Student B.
"You ask AI to fix bug A, it introduces bug B. You ask it to fix bug B, it brings back bug A."
The Tale of Two Students
Ilya used a profound analogy to explain the issue:
Specialist A
10,000 hours of practice, becomes competition champion, but optimized for a single goal
Generalist B
Only 100 hours of practice, yet possesses deeper understanding and 'the it'
DeepSeekMath V2's Answer
Right after Ilya raised this question, DeepSeekMath V2 was released. Through self-verification, it teaches AI to look inward — shifting from seeking external satisfaction (getting rewards) to seeking internal satisfaction (logical consistency). This is AI's journey to 'innate knowledge'.
Process-OrientedSelf-VerificationLogical Consistency
Discover how DeepSeekMath V2's self-verification mechanism addresses Ilya's concerns
Explore Core InnovationWho Benefits from DeepSeekMath V2 Chat?
Free mathematical AI assistance for everyone. From students to researchers, DeepSeekMath V2 helps solve complex math problems through intuitive chat conversations.
🎓
Students
High school and college students tackling calculus, algebra, geometry, and competition math
"Helped me ace my Calculus II exam!"
👨🏫
Teachers
Educators creating problem sets, verifying solutions, and explaining concepts step-by-step
"Perfect for preparing lesson materials"
🔬
Researchers
Academics exploring theorem proving, validating proofs, and conducting mathematical research
"Gold medal level reasoning"
💻
Engineers
Developers solving algorithm problems, optimizing code, and tackling technical challenges
"Solves LeetCode Hard in seconds"
Real Problems, Real Solutions
📐
Advanced Calculus Problem
"Find the limit: lim(x→0) [sin(x)/x]^(1/x²)"
DeepSeekMath V2 Response: Provides step-by-step solution with L'Hôpital's rule, Taylor series expansion, and rigorous proof verification. Shows every calculation step clearly.
✓ Step-by-step solution✓ Self-verified
🏆
IMO Competition Problem
"Prove that for any positive integers a, b, c: (a²+b²)/(c²) + (b²+c²)/(a²) + (c²+a²)/(b²) ≥ 6"
DeepSeekMath V2 Response: Applies Cauchy-Schwarz inequality, provides elegant proof with multiple approaches, explains why each step is valid.
✓ Multiple methods✓ Rigorous proof
📚
Linear Algebra Assignment
"Find eigenvalues and eigenvectors of matrix [[3,1],[1,3]]"
DeepSeekMath V2 Response: Explains characteristic equation, shows matrix calculations, verifies results by substitution, provides geometric interpretation.
✓ Clear explanation✓ Result verification
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Why DeepSeekMath V2 is Revolutionary
DeepSeekMath V2 represents a paradigm shift in mathematical reasoning AI. Unlike previous models, DeepSeek-Math-V2 moves from result-oriented to process-oriented verification, making it the most advanced open-source mathematical AI model available. Experience self-verifiable mathematical reasoning with the DeepSeek model.
Process-Oriented Training
Unlike traditional models focused on final answers, DeepSeek-Math-V2 validates each step of reasoning, mimicking how mathematicians actually work.
685B Parameters
Massive scale enables unprecedented understanding of complex mathematical concepts, theorem proving, and rigorous logical deduction.
Fully Open Source
DeepSeek-Math-V2 is the first IMO gold medal level model available to researchers and developers worldwide, democratizing access to cutting-edge mathematical AI.
DeepSeekMath V2: Unmatched Performance
DeepSeekMath V2 surpasses industry leaders including Gemini DeepThink across multiple mathematical reasoning benchmarks. See how the open-source DeepSeek model achieves state-of-the-art results in theorem proving and self-verifiable mathematical reasoning.
IMO-ProofBench Basic
Leader0
vs Gemini DeepThink 89%
Nearly perfect score on basic theorem proving tasks, 10 percentage points ahead of Google's best model.
Putnam 2025
Outstanding0
Near Perfect Score
Exceptional performance on one of the most challenging undergraduate mathematics competitions.
IMO-ProofBench Advanced
Competitive0
vs Gemini DeepThink 65.7%
Strong showing on advanced theorem proving, competitive with proprietary models.
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IMO 2025 Gold Medal
Achieved gold medal level on International Mathematical Olympiad problems
🇨🇳
CMO 2025 Gold Medal
Gold medal performance on Chinese Mathematical Olympiad
⚡
No Answer Bank Training
Achieved without relying on massive problem-solution databases
Performance Charts
DeepSeek-Math-V2 performance on IMO-ProofBench
DeepSeek-Math-V2 performance in math competitions
Read the DeepSeekMath V2 Research Paper: Towards Self-Verifiable Mathematical Reasoning
Dive deep into the official DeepSeek PDF for DeepSeekMath V2, titled 'Towards Self-Verifiable Mathematical Reasoning'. Explore our groundbreaking methodology, the MathMix dataset, benchmarks, and the implementation of our open-source DeepSeek model.
DeepSeekMath_V2.pdf
Official Research Paper
Tip: Use fullscreen mode for the best reading experience
View on GitHub →Section 3
Self-Verification Architecture
Learn how DeepSeekMath V2 validates its own reasoning process
Section 4
Benchmark Results
Detailed performance analysis on IMO, Putnam, and other tests
Section 5
Training Methodology
Discover the process-oriented training approach
DeepSeekMath V2 Core Innovation: Self-Verifiable Mathematical Reasoning
Discover how DeepSeekMath V2's self-verification mechanism revolutionizes mathematical reasoning. The open-source DeepSeek model is the first model to achieve true process-oriented verification in mathematics. Read the DeepSeek PDF paper to learn more.
The Problem with Traditional Approaches
Previous mathematical AI models focused on getting the right answer through reinforcement learning. However, this approach has a fundamental flaw: correct answers don't guarantee correct reasoning.
In mathematics, especially in theorem proving, the rigor of each logical step matters. A single gap or leap in reasoning invalidates the entire proof, even if the conclusion happens to be correct.
The Self-Verification Breakthrough
DeepSeek-Math-V2 introduces a dual-model architecture:
- →High-Precision Verifier: Checks the logical correctness of each proof step
- →Proof Generator: Trained using the verifier as a reward model, learning to produce rigorous proofs
- →Iterative Improvement: The verifier uses "extended verification compute" to auto-label complex samples
Real-World Impact
- ✓Handling open problems without standard answers
- ✓Multiple self-checks similar to mathematicians reviewing their work
- ✓Better performance with increased computational resources
- ✓Trustworthy reasoning processes, not just lucky guesses
1
Problem Input
Mathematical problem or theorem to prove
↓
2
Proof Generation
Model generates step-by-step reasoning
↓
3
Self-Verification
Verifier checks logical correctness of each step
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4
Refinement
Errors detected and reasoning improved
↓
5
Verified Proof
Rigorous, logically sound solution
DeepSeekMath V2 Benchmark Results
Compare DeepSeekMath V2 performance against leading models like Gemini DeepThink. The open-source DeepSeek model achieves superior results across IMO, Putnam, and other mathematical benchmarks with self-verifiable reasoning.
| Model | Parameters | IMO-ProofBench Basic | IMO-ProofBench Advanced | Putnam 2025 | Open Source |
|---|---|---|---|---|---|
| DeepSeek-Math-V2 | 685B | 99% | 61.9% | 118/120 | ✓ |
| Gemini DeepThink (IMO Gold) | - | 89% | 65.7% | - | ✗ |
| DeepSeek-Math-V1 (7B) | 7B | - | - | - | ✓ |
Key Achievements
- ✓DeepSeek-Math-V2 is the first open-source model to achieve IMO gold medal level performance
- ✓10 percentage points ahead of Gemini DeepThink on IMO-ProofBench Basic
- ✓Near-perfect score on Putnam 2025 (118/120)
- ✓Achieved without massive problem-answer database training
- ✓Fully reproducible and available to the research community
What Developers Say About DeepSeekMath V2
Global developer and researcher reactions to DeepSeekMath V2 release. See why the AI community considers the open-source DeepSeek model a breakthrough in self-verifiable mathematical reasoning.
"The whale is back! DeepSeek just dropped Math-V2 and it's crushing Gemini DeepThink on basic benchmarks by 10 points. Can't wait to see what they do with coding models."
"Mathematical reasoning is the most demanding AI task. No emotions, no fuzzy answers, no 'close enough.' Every step requires strict logical chains. DeepSeek's math team might be their strongest card."
"Chinese models consistently dominate in mathematics. DeepSeek, Qwen — they understand that without math, we can't reach the singularity. Pick any AI paper and it's full of mathematics."
"V1 was released almost two years ago. Everyone thought the math line was abandoned. DeepSeek never gave up, and when they came back, they came back strong."
Get Free Access to DeepSeekMath V2 Chat
Join the waitlist to get free chat access to DeepSeekMath V2. Be among the first to experience the world's most advanced open-source mathematical reasoning AI through an intuitive chat interface.
Frequently Asked Questions
Everything you need to know about DeepSeekMath V2
DeepSeek-Math-V2 is the world's first fully open-source mathematical reasoning AI model to achieve IMO (International Mathematical Olympiad) Gold Medal level performance. With 685 billion parameters, DeepSeekMath V2 introduces revolutionary self-verifiable mathematical reasoning capabilities, allowing it to verify its own proof steps for logical correctness.
Unlike traditional models that focus only on final answers, DeepSeek-Math-V2 uses a dual-model architecture: a high-precision verifier that checks the logical correctness of each proof step, and a proof generator trained using the verifier as a reward model. This process-oriented approach in DeepSeekMath V2 ensures rigorous, mathematically sound reasoning at every step.
Yes! DeepSeek-Math-V2 is fully open source and available under the MIT license. You can download DeepSeekMath V2 from Hugging Face, access the complete source code on GitHub, and read the technical paper for free. DeepSeek-Math-V2 is the first IMO gold medal level mathematical reasoning model available to researchers and developers worldwide at no cost.
DeepSeek-Math-V2 excels at complex mathematical problems including theorem proving, competition-level mathematics (IMO, Putnam), advanced calculus, abstract algebra, number theory, and rigorous logical deduction. DeepSeekMath V2 achieved 99% on IMO-ProofBench Basic, 61.9% on IMO-ProofBench Advanced, and near-perfect 118/120 on Putnam 2025.
Join our waitlist above to get free chat access. We're currently onboarding users in batches to ensure the best experience. Once approved, you'll receive your login credentials and can start chatting with DeepSeek-Math-V2 immediately. No credit card required for the free tier.
DeepSeek-Math-V2 is unique in its process-oriented verification approach. While other models focus on getting correct final answers, DeepSeek-Math-V2 validates each reasoning step, ensuring logical soundness throughout. It outperforms Google's Gemini DeepThink by 10 percentage points on IMO-ProofBench Basic (99% vs 89%) and is the only model of its caliber that's fully open source.
Yes! As an open-source model, you can download and run DeepSeek-Math-V2 on your own infrastructure. However, with 685 billion parameters, it requires significant computational resources (multiple high-end GPUs with large VRAM). For most users, our API provides a more practical and cost-effective solution.
DeepSeek-Math-V2 was officially released on November 27, 2025. It represents nearly two years of development since V1, with significant architectural improvements and the introduction of self-verifiable mathematical reasoning capabilities that set a new standard for open-source mathematical AI models.
Still have questions?
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