Text / LLM / Model
DeepSeek-V3.1
- Organisation
- DeepSeek-AI
- Family
- DeepSeek · version V3.1
- Released
- 2025-08-21 (DeepSeek API Docs news entry 'DeepSeek V3.1 Release 2025/08/21', https://api-docs.deepseek.com/news/news1226)
- Checkpoints
- deepseek-ai/DeepSeek-V3.1-Base, deepseek-ai/DeepSeek-V3.1, deepseek-ai/DeepSeek-V3.1-Terminus
- Weights
- Open · MIT
- Links
- Model card
Training data disclosure: Vague
Level determined for 0% of benchmark cells.
- TestTest data seen0
- SeenSeen, split unclear0
- TrainTraining data seen0
- Related data seen0
- NoNot seen0
- ?Unknown15
“DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in the original DeepSeek-V3 report.”
Other declared training data
-
additional long documents (context-extension data: 630B tokens at 32K, 209B tokens at 128K) (not yet matched to a dataset) · split: unknown
Source of the long documents not stated.
Evidence
“We have expanded our dataset by collecting additional long documents and substantially extending both training phases.”
huggingface.co · model card · Introduction · retrieved 2026-10-15 “The 32K extension phase has been increased 10-fold to 630B tokens, while the 128K extension phase has been extended by 3.3x to 209B tokens.”
huggingface.co · model card · Introduction · retrieved 2026-10-15
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
Continued from the DeepSeek-V3 base checkpoint (see deepseek-v3 for its pre-training data). DeepSeek-V3.1-Terminus (2025-09-22 update) has the same structure; no new data information.
Sources
- DeepSeek-V3.1 model card · model card · retrieved 2026-10-15
- DeepSeek-V3.1-Terminus model card · model card · retrieved 2026-10-15