Claude 3.5 Sonnet vs DeepSeek V3: Benchmark Comparison
Detailed comparison of Claude 3.5 Sonnet and DeepSeek V3 covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | Claude 3.5 Sonnet | DeepSeek V3 |
|---|---|---|
| Vendor | anthropic | deepseek |
| Version | 3.5-sonnet | v3 |
| Release Date | 2024-06-20 | 2024-12-26 |
| Context Window | 200000 tokens | 64000 tokens |
| Input Modalities | text, image | text |
| Output Modalities | text | text |
| License | Proprietary | DeepSeek License |
| SOC2 | ✓ | ✗ |
| HIPAA | ✗ | ✗ |
| GDPR | ✓ | ✗ |
| ISO 27001 | ✗ | ✗ |
Benchmark Results
| Benchmark | Claude 3.5 Sonnet | DeepSeek V3 | Winner |
|---|---|---|---|
| BBH | 84.5 | 84.9 | DeepSeek V3 |
| GSM8K | 96.4 | 89.3 | Claude 3.5 Sonnet |
| HUMANEVAL | 92 | 82.6 | Claude 3.5 Sonnet |
| MATH | 71.1 | 61.6 | Claude 3.5 Sonnet |
| MMLU | 88.7 | 88.5 | Claude 3.5 Sonnet |
Pricing Comparison
| Tier (per Mtok) | Claude 3.5 Sonnet | DeepSeek V3 |
|---|---|---|
| Input | $3 | $0.27 |
| Output | $15 | $1.1 |
| Cache Read | $0.3 | $0.07 |
| Cache Write | $3.75 | $0.27 |
Claude 3.5 Sonnet đối DeepSeek V3
Tổng quan mô hình
Claude 3.5 Sonnet and DeepSeek V3 are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Thông số kỹ thuật chính
| Nhà cung cấp | Ngày phát hành | Cửa sổ ngữ cảnh | Giấy phép |
|---|---|---|---|
| Anthropic / Deepseek | 2024-06-20 / 2024-12-26 | 200K / 64K | Proprietary / DeepSeek License |
Hiệu suất benchmark
| Benchmark | Claude 3.5 Sonnet | DeepSeek V3 | Người chiến thắng |
|---|---|---|---|
| BBH (BIG-Bench Hard) | 84.5 | 84.9 | Tie |
| GSM8K (Grade School Math 8K) | 96.4 | 89.3 | A |
| HumanEval | 92.0 | 82.6 | A |
| MATH | 71.1 | 61.6 | A |
| MMLU (Massive Multitask Language Understanding) | 88.7 | 88.5 | Tie |
So sánh giá
| Đầu vào | Đầu ra | Đọc bộ nhớ đệm | Ghi bộ nhớ đệm |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
mỗi triệu token — A / B
Điểm mạnh & Điểm yếu
Claude 3.5 Sonnet
- ✅ MMLU score 88.7, strong knowledge reasoning.
- ✅ HumanEval 92.0, excellent code generation.
- ✅ GSM8K 96.4, robust math reasoning.
- ✅ 上下文窗口 200K，支持长文本。
- ⚠️ 闭源专有模型，不支持自托管。
DeepSeek V3
- ✅ MMLU score 88.5, strong knowledge reasoning.
- ✅ HumanEval 82.6, excellent code generation.
- ✅ GSM8K 89.3, robust math reasoning.
- ✅ 采用 MoE 混合专家架构。
- ⚠️ 闭源专有模型，不支持自托管。
Ý kiến biên tập
Claude 3.5 Sonnet and DeepSeek V3 each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.
Câu hỏi thường gặp
Which model is better for coding tasks?
Refer to the HumanEval benchmark table; the model with a higher score is better suited for coding tasks.
Which model is cheaper?
Refer to the pricing comparison table above; the model with lower input/output prices is more cost-effective.
Which has a longer context window?
Refer to the key specifications table; the model with a larger context window is better for long documents.
Tham chiếu
Editor's Take
See Editor's Take section.