Mixtral 8x22B vs Mistral Large 2: Benchmark Comparison
Detailed comparison of Mixtral 8x22B and Mistral Large 2 covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | Mixtral 8x22B | Mistral Large 2 |
|---|---|---|
| Vendor | mistral | mistral |
| Version | 8x22b | large-2 |
| Release Date | 2024-04-10 | 2024-07-24 |
| Context Window | 64000 tokens | 128000 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | Apache 2.0 | Mistral Research License |
| SOC2 | ✗ | ✓ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✓ |
| ISO 27001 | ✗ | ✓ |
Benchmark Results
| Benchmark | Mixtral 8x22B | Mistral Large 2 | Winner |
|---|---|---|---|
| BBH | 74.5 | 81 | Mistral Large 2 |
| GSM8K | 78.6 | 93 | Mistral Large 2 |
| HUMANEVAL | 45.2 | 92 | Mistral Large 2 |
| MATH | 46 | 71 | Mistral Large 2 |
| MMLU | 77.8 | 84 | Mistral Large 2 |
Pricing Comparison
| Tier (per Mtok) | Mixtral 8x22B | Mistral Large 2 |
|---|---|---|
| Input | $1.2 | $2 |
| Output | $1.2 | $6 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
Mixtral 8x22B gegen Mistral Large 2
Modellübersicht
Mixtral 8x22B and Mistral Large 2 are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Hauptspezifikationen
| Anbieter | Veröffentlichungsdatum | Kontextfenster | Lizenz |
|---|---|---|---|
| Mistral / Mistral | 2024-04-10 / 2024-07-24 | 64K / 128K | Apache 2.0 / Mistral Research License |
Benchmark-Leistung
| Benchmark | Mixtral 8x22B | Mistral Large 2 | Gewinner |
|---|---|---|---|
| BBH (BIG-Bench Hard) | 74.5 | 81.0 | B |
| GSM8K (Grade School Math 8K) | 78.6 | 93.0 | B |
| HumanEval | 45.2 | 92.0 | B |
| MATH | 46.0 | 71.0 | B |
| MMLU (Massive Multitask Language Understanding) | 77.8 | 84.0 | B |
Preisvergleich
| Eingabe | Ausgabe | Cache-Lesen | Cache-Schreiben |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
pro Million Token — A / B
Stärken & Schwächen
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。
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。
Redaktionsmeinung
Mixtral 8x22B and Mistral Large 2 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.
Referenzen
Editor's Take
See Editor's Take section.