Key Specifications
| Vendor | deepseek |
|---|
| Version | v2 |
|---|
| Release Date | 2024-05-07 |
|---|
| Context Window | 32768 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 | 78.2 | % | 2024-05-07 | 5-shot | view |
| HUMANEVAL | 75.7 | pass@1 | 2024-05-07 | — | view |
| GSM8K | 78.8 | % | 2024-05-07 | 0-shot CoT | view |
| MATH | 35.2 | % | 2024-05-07 | 0-shot CoT | view |
| BBH | 70.5 | % | 2024-05-07 | 3-shot CoT | view |
| GPQA | 31.5 | % | 2024-05-07 | 0-shot | view |
| IFEVAL | 78.6 | % | 2024-05-07 | prompt_strict | view |
| ARC | 92.1 | % | 2024-05-07 | challenge | view |
| MUSR | 53.4 | % | 2024-05-07 | 0-shot | view |
| WINOGRANDE | 84.7 | % | 2024-05-07 | 0-shot | view |
Compliance
- Data Residency: CN
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
DeepSeek V2
Model Overview
DeepSeek V2 开源 MoE 模型, 总参 236B/活跃 21B, 32K 上下文, 首创 MLA 注意力机制, 性价比突出。
Core Specifications
| Vendor | Version | Release Date | Context Window | Input Modalities | Output Modalities | License |
|---|
| Deepseek | v2 | 2024-05-07 | 32K | text | text | DeepSeek License |
| Benchmark | Score | Unit | Notes |
|---|
| MMLU (Massive Multitask Language Understanding) | 78.2 | % | 5-shot |
| HumanEval | 75.7 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 78.8 | % | 0-shot CoT |
| MATH | 35.2 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 70.5 | % | 3-shot CoT |
| GPQA | 31.5 | % | 0-shot |
| IFEval | 78.6 | % | prompt_strict |
| ARC | 92.1 | % | challenge |
| MUSR | 53.4 | % | 0-shot |
| WinoGrande | 84.7 | % | 0-shot |
Pricing
| Input | Output | Cache Read | Cache Write |
|---|
| — | — | — | — |
per million tokens
Strengths
- Mixture-of-Experts architecture.
Weaknesses
- Proprietary, not self-hostable.
Use Cases
- Code generation and debugging
References