Key Specifications
| Vendor | deepseek |
| Version | coder-v2 |
| Release Date | 2024-06-21 |
| Context Window | 128000 tokens |
| Input Modalities | text |
| Output Modalities | text |
| License | DeepSeek License |
| Documentation | https://api-docs.deepseek.com/ |
Benchmark Performance
| Benchmark |
Score |
Unit |
Evaluated At |
Notes |
Source |
| MMLU |
72.3 |
% |
2024-06-21 |
5-shot |
view |
| HUMANEVAL |
88.9 |
pass@1 |
2024-06-21 |
— |
view |
| GSM8K |
62.9 |
% |
2024-06-21 |
0-shot CoT |
view |
| MATH |
38.2 |
% |
2024-06-21 |
0-shot CoT |
view |
| BBH |
72.3 |
% |
2024-06-21 |
3-shot CoT |
view |
| GPQA |
25.4 |
% |
2024-06-21 |
0-shot |
view |
| IFEVAL |
56.7 |
% |
2024-06-21 |
prompt_strict |
view |
| ARC |
88.5 |
% |
2024-06-21 |
challenge |
view |
| MUSR |
40.3 |
% |
2024-06-21 |
0-shot |
view |
| WINOGRANDE |
78.8 |
% |
2024-06-21 |
0-shot |
view |
Compliance
- Data Residency: CN
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
DeepSeek Coder V2
Model Overview
DeepSeek Coder V2 代码专用 MoE 模型, 128K 上下文, 支持 338 种编程语言, 代码生成能力突出。
Core Specifications
| Vendor |
Version |
Release Date |
Context Window |
Input Modalities |
Output Modalities |
License |
| Deepseek |
coder-v2 |
2024-06-21 |
128K |
text |
text |
DeepSeek License |
| Benchmark |
Score |
Unit |
Notes |
| MMLU (Massive Multitask Language Understanding) |
72.3 |
% |
5-shot |
| HumanEval |
88.9 |
pass@1 |
— |
| GSM8K (Grade School Math 8K) |
62.9 |
% |
0-shot CoT |
| MATH |
38.2 |
% |
0-shot CoT |
| BBH (BIG-Bench Hard) |
72.3 |
% |
3-shot CoT |
| GPQA |
25.4 |
% |
0-shot |
| IFEval |
56.7 |
% |
prompt_strict |
| ARC |
88.5 |
% |
challenge |
| MUSR |
40.3 |
% |
0-shot |
| WinoGrande |
78.8 |
% |
0-shot |
Pricing
| Input |
Output |
Cache Read |
Cache Write |
| — |
— |
— |
— |
per million tokens
Strengths
- HumanEval 88.9, excellent code generation.
- Mixture-of-Experts architecture.
Weaknesses
- Proprietary, not self-hostable.
Use Cases
- Code generation and debugging
References