DeepSeekMath couples large-scale math pretraining with GRPO

The model continued pretraining on 120B math-related tokens and then used supervised and reinforcement-learning stages for mathematical reasoning.

What happened?

DeepSeekMath-7B reached 51.7% on MATH without external tools or voting and introduced Group Relative Policy Optimization (GRPO).

Why it matters

It linked open math-model scaling with a verifier-friendly RL recipe that influenced subsequent reasoning systems.

Significance rationale: DeepSeekMath paired a strong open mathematical corpus pipeline with GRPO, a reinforcement-learning method that later became influential in reasoning-model training.

Historical context

Primary evidence

Evidence & status at a glance

Significance
H2 · Field milestone
Verification
Paper released
Evidence level
E3 · Inspectable artifact
AI role
Computation only
Formal assurance
Artifact available

How should these labels be read? →

Contribution & verification

Mathematical novelty
Benchmark result
Interface
Informal, Symbolic
AI contribution
The trained model performs competition-level mathematical reasoning.
Human contribution
Researchers built the data pipeline, model training recipe and GRPO optimization method.
Verification
Paper released · E3 · Inspectable artifact · Artifact available
Last reviewed
2026-09-11

Technical details

Systems
deepseekmath
Organizations
deepseek
Problems
math-benchmark
Methods
grpo, continued-pretraining, reinforcement-learning

Sources & artifacts

Verification history

  • 2024-02-05 · Paper released · E2 · Research record

    The Chronicle records this event from the cited primary or official source; the status does not imply independent Chronicle verification.

  • 2026-09-11 · Paper released · E3 · Inspectable artifact

    This corpus refresh added a directly inspectable public artifact maintained by the authors or releasing organization. E3 records artifact-level inspectability and does not imply independent verification of the underlying scientific or mathematical claim.

Corrections

No corrections recorded.