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DeepSeek AI Model Evaluation Report
A comprehensive assessment of DeepSeek’s large language models in reasoning, coding, multilingual support, and real-world performance
1. Reasoning & General Intelligence
DeepSeek models demonstrate strong logical reasoning and factual knowledge, rivaling top-tier Western LLMs in both Chinese and English benchmarks.
| Benchmark | Score | Model Version |
|---|---|---|
| MMLU (5-shot) | 82.6 | DeepSeek-V2 |
| CEval (Chinese) | 86.3 | DeepSeek-V2 |
| Gaokao-Bench | 84.1 | DeepSeek-Chat |
2. Code Understanding & Generation
DeepSeek-Coder is a powerful code-specialized model, excelling in Python, JavaScript, and C++ with strong function-level completion.
| Language | HumanEval Pass@1 | Repo-Level Task Accuracy |
|---|---|---|
| Python | 76.8% | 71.2% |
| JavaScript | 73.5% | 68.0% |
| C++ | 69.0% | 64.3% |
Context Length: Up to 128K tokens — ideal for large codebase analysis.
3. Multilingual & Chinese Language Excellence
DeepSeek is optimized for Chinese NLP tasks, delivering state-of-the-art fluency, cultural awareness, and technical accuracy.
- ✅ Chinese Fluency: ⭐⭐⭐⭐⭐ — Natural, idiomatic, and context-aware
- ✅ English Proficiency: ⭐⭐⭐⭐☆ — Strong, near-native in technical domains
- ⚠️ Other Languages: Limited support (e.g., French, Spanish at basic level)
4. Long-Context Understanding (Up to 128K Tokens)
DeepSeek supports ultra-long context inputs, enabling deep document analysis, full-file code review, and long-form content generation.
- ✅ 128K Context Window: One of the longest in open models
- ✅ Position Interpolation (RoPE): Stable performance at full length
- ✅ Document Summarization: Accurate across legal, technical, and academic texts
5. Inference Speed & Model Efficiency
Leveraging MoE (Mixture of Experts) architecture, DeepSeek-V2 delivers high performance with lower computational cost.
Average Latency: 1.1s (short), 3.4s (128K input)
Active Tokens/Second: ~120 (A100, batch=1)
Uptime (API): 99.6%
Overall Assessment & Conclusion
Overall Score: ⭐ 8.9 / 10
DeepSeek stands as one of the most capable open-weight large language model families, particularly dominant in Chinese-language AI applications. Its combination of strong reasoning, excellent code generation, and industry-leading 128K context support makes it a top choice for developers, researchers, and enterprises in Greater China and beyond. While multilingual coverage is still developing, its efficiency via MoE architecture and competitive benchmark performance position DeepSeek as a serious contender to global leaders like Llama 3 and Claude. Ideal for bilingual teams, code-centric workflows, and long-document processing.