DeepSeek V3 vs Mistral Large 2: Benchmark Comparison
Detailed comparison of DeepSeek V3 and Mistral Large 2 covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | DeepSeek V3 | Mistral Large 2 |
|---|---|---|
| Vendor | deepseek | mistral |
| Version | v3 | large-2 |
| Release Date | 2024-12-26 | 2024-07-24 |
| Context Window | 64000 tokens | 128000 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | DeepSeek License | Mistral Research License |
| SOC2 | ✗ | ✓ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✓ |
| ISO 27001 | ✗ | ✓ |
Benchmark Results
| Benchmark | DeepSeek V3 | Mistral Large 2 | Winner |
|---|---|---|---|
| BBH | 84.9 | 81 | DeepSeek V3 |
| GSM8K | 89.3 | 93 | Mistral Large 2 |
| HUMANEVAL | 82.6 | 92 | Mistral Large 2 |
| MATH | 61.6 | 71 | Mistral Large 2 |
| MMLU | 88.5 | 84 | DeepSeek V3 |
Pricing Comparison
| Tier (per Mtok) | DeepSeek V3 | Mistral Large 2 |
|---|---|---|
| Input | $0.27 | $2 |
| Output | $1.1 | $6 |
| Cache Read | $0.07 | $0 |
| Cache Write | $0.27 | $0 |
DeepSeek V3 ضد Mistral Large 2
نظرة عامة على النموذج
DeepSeek V3 and Mistral Large 2 are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
المواصفات الرئيسية
| المزود | تاريخ الإصدار | نافذة السياق | الترخيص |
|---|---|---|---|
| Deepseek / Mistral | 2024-12-26 / 2024-07-24 | 64K / 128K | DeepSeek License / Mistral Research License |
أداء المعايير
| المعيار | DeepSeek V3 | Mistral Large 2 | الفائز |
|---|---|---|---|
| BBH (BIG-Bench Hard) | 84.9 | 81.0 | A |
| GSM8K (Grade School Math 8K) | 89.3 | 93.0 | B |
| HumanEval | 82.6 | 92.0 | B |
| MATH | 61.6 | 71.0 | B |
| MMLU (Massive Multitask Language Understanding) | 88.5 | 84.0 | A |
مقارنة الأسعار
| الإدخال | الإخراج | قراءة الذاكرة المؤقتة | كتابة الذاكرة المؤقتة |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
لكل مليون رمز — A / B
نقاط القوة & نقاط الضعف
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。
Mistral Large 2
- ✅ MMLU score 84.0, strong knowledge reasoning.
- ✅ HumanEval 92.0, excellent code generation.
- ✅ GSM8K 93.0, robust math reasoning.
- ⚠️ 闭源专有模型，不支持自托管。
رأي المحرر
DeepSeek V3 and Mistral Large 2 each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.
الأسئلة الشائعة
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.
المراجع
Editor's Take
See Editor's Take section.