Contamination Map Methodology

Text / LLM / Model

DeepSeek-V3-0324

Organisation
DeepSeek-AI
Family
DeepSeek · version V3-0324
Released
2025-03-25 (DeepSeek API Docs news entry 'DeepSeek-V3-0324 Release 2025/03/25', https://api-docs.deepseek.com/news/news1226)
Checkpoints
deepseek-ai/DeepSeek-V3-0324
Weights
Open · MIT
Links
Model card

Training data disclosure: None

Level determined for 0% of benchmark cells.

Benchmark cells

Classic LLM benchmarks

Unknown MMLU (Measuring Massive Multitask Language Understanding) · training data not disclosed in enough detail

Unknown GSM8K (Grade School Math 8K) · training data not disclosed in enough detail

Unknown MATH (Mathematics Aptitude Test of Heuristics) · training data not disclosed in enough detail

Unknown HumanEval · training data not disclosed in enough detail

Unknown ARC-Challenge (AI2 Reasoning Challenge, Challenge Set) · training data not disclosed in enough detail

Unknown HellaSwag · training data not disclosed in enough detail

Unknown TruthfulQA · training data not disclosed in enough detail

Unknown WinoGrande · training data not disclosed in enough detail

Recent LLM benchmarks

Unknown GPQA Diamond · training data not disclosed in enough detail

Unknown MMLU-Pro · training data not disclosed in enough detail

Unknown LiveCodeBench (code generation, release_v6) · training data not disclosed in enough detail

Unknown SWE-bench Verified · training data not disclosed in enough detail

Unknown AIME 2024 · training data not disclosed in enough detail

Unknown AIME 2025 · training data not disclosed in enough detail

Unknown MATH-500 · training data not disclosed in enough detail

Notes

Card states the model structure is exactly the same as DeepSeek-V3 and lists capability changes; no training-data information. Presumably shares DeepSeek-V3-Base, but the card does not say so.

Sources