Llama 3.1 405B vs Mistral Large 2: Benchmark Comparison
Detailed comparison of Llama 3.1 405B and Mistral Large 2 covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | Llama 3.1 405B | Mistral Large 2 |
|---|---|---|
| Vendor | meta | mistral |
| Version | 3.1-405b | large-2 |
| Release Date | 2024-07-23 | 2024-07-24 |
| Context Window | 128000 tokens | 128000 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | Llama 3 Community License | Mistral Research License |
| SOC2 | ✗ | ✓ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✓ |
| ISO 27001 | ✗ | ✓ |
Benchmark Results
| Benchmark | Llama 3.1 405B | Mistral Large 2 | Winner |
|---|---|---|---|
| BBH | 82.9 | 81 | Llama 3.1 405B |
| GSM8K | 89.2 | 93 | Mistral Large 2 |
| HUMANEVAL | 89 | 92 | Mistral Large 2 |
| MATH | 73.8 | 71 | Llama 3.1 405B |
| MMLU | 88.6 | 84 | Llama 3.1 405B |
Pricing Comparison
| Tier (per Mtok) | Llama 3.1 405B | Mistral Large 2 |
|---|---|---|
| Input | $5 | $2 |
| Output | $15 | $6 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
Llama 3.1 405B gegen Mistral Large 2
Modellübersicht
Llama 3.1 405B 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 |
|---|---|---|---|
| Meta / Mistral | 2024-07-23 / 2024-07-24 | 128K / 128K | Llama 3 Community License / Mistral Research License |
Benchmark-Leistung
| Benchmark | Llama 3.1 405B | Mistral Large 2 | Gewinner |
|---|---|---|---|
| BBH (BIG-Bench Hard) | 82.9 | 81.0 | A |
| GSM8K (Grade School Math 8K) | 89.2 | 93.0 | B |
| HumanEval | 89.0 | 92.0 | B |
| MATH | 73.8 | 71.0 | A |
| MMLU (Massive Multitask Language Understanding) | 88.6 | 84.0 | A |
Preisvergleich
| Eingabe | Ausgabe | Cache-Lesen | Cache-Schreiben |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
pro Million Token — A / B
Stärken & Schwächen
Llama 3.1 405B
- ✅ MMLU score 88.6, strong knowledge reasoning.
- ✅ HumanEval 89.0, excellent code generation.
- ✅ GSM8K 89.2, 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。
Redaktionsmeinung
Llama 3.1 405B 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.