DeepSeek V2 vs DeepSeek V3: Benchmark Comparison
Detailed comparison of DeepSeek V2 and DeepSeek V3 covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | DeepSeek V2 | DeepSeek V3 |
|---|---|---|
| Vendor | deepseek | deepseek |
| Version | v2 | v3 |
| Release Date | 2024-05-07 | 2024-12-26 |
| Context Window | 32768 tokens | 64000 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | DeepSeek License | DeepSeek License |
| SOC2 | ✗ | ✗ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✗ |
| ISO 27001 | ✗ | ✗ |
Benchmark Results
| Benchmark | DeepSeek V2 | DeepSeek V3 | Winner |
|---|---|---|---|
| ARC | 92.1 | — | DeepSeek V2 |
| BBH | 70.5 | 84.9 | DeepSeek V3 |
| GPQA | 31.5 | — | DeepSeek V2 |
| GSM8K | 78.8 | 89.3 | DeepSeek V3 |
| HUMANEVAL | 75.7 | 82.6 | DeepSeek V3 |
| IFEVAL | 78.6 | — | DeepSeek V2 |
| MATH | 35.2 | 61.6 | DeepSeek V3 |
| MMLU | 78.2 | 88.5 | DeepSeek V3 |
| MUSR | 53.4 | — | DeepSeek V2 |
| WINOGRANDE | 84.7 | — | DeepSeek V2 |
Pricing Comparison
| Tier (per Mtok) | DeepSeek V2 | DeepSeek V3 |
|---|---|---|
| Input | $0.14 | $0.27 |
| Output | $0.28 | $1.1 |
| Cache Read | $0 | $0.07 |
| Cache Write | $0 | $0.27 |
DeepSeek V2 vs DeepSeek V3
Model Overview
DeepSeek V2 and DeepSeek V3 are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Key Specifications
| Vendor | Release Date | Context Window | License |
|---|---|---|---|
| Deepseek / Deepseek | 2024-05-07 / 2024-12-26 | 32K / 64K | DeepSeek License / DeepSeek License |
Benchmark Performance
| Benchmark | DeepSeek V2 | DeepSeek V3 | Winner |
|---|---|---|---|
| ARC | 92.1 | — | A |
| BBH (BIG-Bench Hard) | 70.5 | 84.9 | B |
| GPQA | 31.5 | — | A |
| GSM8K (Grade School Math 8K) | 78.8 | 89.3 | B |
| HumanEval | 75.7 | 82.6 | B |
| IFEval | 78.6 | — | A |
| MATH | 35.2 | 61.6 | B |
| MMLU (Massive Multitask Language Understanding) | 78.2 | 88.5 | B |
| MUSR | 53.4 | — | A |
| WinoGrande | 84.7 | — | A |
Pricing Comparison
| Input | Output | Cache Read | Cache Write |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
per million tokens — A / B
Strengths & Weaknesses
DeepSeek V2
- ✅ Mixture-of-Experts architecture.
- ⚠️ Proprietary, not self-hostable.
DeepSeek V3
- ✅ MMLU score 88.5, strong knowledge reasoning.
- ✅ HumanEval 82.6, excellent code generation.
- ✅ GSM8K 89.3, robust math reasoning.
- ✅ Mixture-of-Experts architecture.
- ⚠️ Proprietary, not self-hostable.
Editor’s Take
DeepSeek V2 and DeepSeek V3 each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.
FAQ
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.
References
Editor's Take
See Editor's Take section.