Qwen2.5 72B vs Mistral Large 2: Benchmark Comparison
Detailed comparison of Qwen2.5 72B and Mistral Large 2 covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | Qwen2.5 72B | Mistral Large 2 |
|---|---|---|
| Vendor | alibaba | mistral |
| Version | 2.5-72b | large-2 |
| Release Date | 2024-09-19 | 2024-07-24 |
| Context Window | 131072 tokens | 128000 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | Qwen License | Mistral Research License |
| SOC2 | ✗ | ✓ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✓ |
| ISO 27001 | ✗ | ✓ |
Benchmark Results
| Benchmark | Qwen2.5 72B | Mistral Large 2 | Winner |
|---|---|---|---|
| BBH | 82.4 | 81 | Qwen2.5 72B |
| GSM8K | 88.4 | 93 | Mistral Large 2 |
| HUMANEVAL | 86.6 | 92 | Mistral Large 2 |
| MATH | 83.1 | 71 | Qwen2.5 72B |
| MMLU | 86.1 | 84 | Qwen2.5 72B |
Pricing Comparison
| Tier (per Mtok) | Qwen2.5 72B | Mistral Large 2 |
|---|---|---|
| Input | $0.5 | $2 |
| Output | $0.8 | $6 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
Qwen2.5 72B против Mistral Large 2
Обзор модели
Qwen2.5 72B and Mistral Large 2 are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Ключевые характеристики
| Поставщик | Дата выпуска | Окно контекста | Лицензия |
|---|---|---|---|
| Alibaba / Mistral | 2024-09-19 / 2024-07-24 | 131K / 128K | Qwen License / Mistral Research License |
Производительность
| Бенчмарк | Qwen2.5 72B | Mistral Large 2 | Победитель |
|---|---|---|---|
| BBH (BIG-Bench Hard) | 82.4 | 81.0 | A |
| GSM8K (Grade School Math 8K) | 88.4 | 93.0 | B |
| HumanEval | 86.6 | 92.0 | B |
| MATH | 83.1 | 71.0 | A |
| MMLU (Massive Multitask Language Understanding) | 86.1 | 84.0 | A |
Сравнение цен
| Вход | Выход | Чтение кэша | Запись кэша |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
за миллион токенов — A / B
Сильные стороны & Слабые стороны
Qwen2.5 72B
- ✅ MMLU score 86.1, strong knowledge reasoning.
- ✅ HumanEval 86.6, excellent code generation.
- ✅ GSM8K 88.4, robust math reasoning.
- ⚠️ 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。
Мнение редактора
Qwen2.5 72B and Mistral Large 2 each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.
ЧЗВ
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.
Ссылки
Editor's Take
See Editor's Take section.