Qwen2.5 72B vs Mixtral 8x22B: Benchmark Comparison
Detailed comparison of Qwen2.5 72B and Mixtral 8x22B covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | Qwen2.5 72B | Mixtral 8x22B |
|---|---|---|
| Vendor | alibaba | mistral |
| Version | 2.5-72b | 8x22b |
| Release Date | 2024-09-19 | 2024-04-10 |
| Context Window | 131072 tokens | 64000 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | Qwen License | Apache 2.0 |
| SOC2 | ✗ | ✗ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✗ |
| ISO 27001 | ✗ | ✗ |
Benchmark Results
| Benchmark | Qwen2.5 72B | Mixtral 8x22B | Winner |
|---|---|---|---|
| BBH | 82.4 | 74.5 | Qwen2.5 72B |
| GSM8K | 88.4 | 78.6 | Qwen2.5 72B |
| HUMANEVAL | 86.6 | 45.2 | Qwen2.5 72B |
| MATH | 83.1 | 46 | Qwen2.5 72B |
| MMLU | 86.1 | 77.8 | Qwen2.5 72B |
Pricing Comparison
| Tier (per Mtok) | Qwen2.5 72B | Mixtral 8x22B |
|---|---|---|
| Input | $0.5 | $1.2 |
| Output | $0.8 | $1.2 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
Qwen2.5 72B contra Mixtral 8x22B
Descripción del modelo
Qwen2.5 72B and Mixtral 8x22B are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Especificaciones clave
| Proveedor | Fecha de lanzamiento | Ventana de contexto | Licencia |
|---|---|---|---|
| Alibaba / Mistral | 2024-09-19 / 2024-04-10 | 131K / 64K | Qwen License / Apache 2.0 |
Rendimiento en benchmarks
| Benchmark | Qwen2.5 72B | Mixtral 8x22B | Ganador |
|---|---|---|---|
| BBH (BIG-Bench Hard) | 82.4 | 74.5 | A |
| GSM8K (Grade School Math 8K) | 88.4 | 78.6 | A |
| HumanEval | 86.6 | 45.2 | A |
| MATH | 83.1 | 46.0 | A |
| MMLU (Massive Multitask Language Understanding) | 86.1 | 77.8 | A |
Comparación de precios
| Entrada | Salida | Lectura caché | Escritura caché |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
por millón de tokens — A / B
Fortalezas & Debilidades
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。
Mixtral 8x22B
- ✅ 采用 MoE 混合专家架构。
- ⚠️ HumanEval 45.2，代码能力较弱。
- ⚠️ 闭源专有模型，不支持自托管。
Opinión del editor
Qwen2.5 72B and Mixtral 8x22B each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.
Preguntas frecuentes
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.
Referencias
Editor's Take
See Editor's Take section.