Llama 3 70B vs Llama 3 8B: Benchmark Comparison
Detailed comparison of Llama 3 70B and Llama 3 8B covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | Llama 3 70B | Llama 3 8B |
|---|---|---|
| Vendor | meta | meta |
| Version | 3-70b | 3-8b |
| Release Date | 2024-04-18 | 2024-04-18 |
| Context Window | 8192 tokens | 8192 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | Llama 3 Community License | Llama 3 Community License |
| SOC2 | ✗ | ✗ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✗ |
| ISO 27001 | ✗ | ✗ |
Benchmark Results
| Benchmark | Llama 3 70B | Llama 3 8B | Winner |
|---|---|---|---|
| ARC | 93.4 | 91.2 | Llama 3 70B |
| BBH | 77.6 | 65 | Llama 3 70B |
| GPQA | 38.2 | 27.9 | Llama 3 70B |
| GSM8K | 76.2 | 56.6 | Llama 3 70B |
| HUMANEVAL | 73 | 65 | Llama 3 70B |
| IFEVAL | 72.2 | 68.2 | Llama 3 70B |
| MATH | 50.1 | 40 | Llama 3 70B |
| MMLU | 79.5 | 67.8 | Llama 3 70B |
| MUSR | 51.2 | 46.1 | Llama 3 70B |
| WINOGRANDE | 79.2 | 75.6 | Llama 3 70B |
Pricing Comparison
| Tier (per Mtok) | Llama 3 70B | Llama 3 8B |
|---|---|---|
| Input | $0.9 | $0.18 |
| Output | $0.9 | $0.18 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
Llama 3 70B contre Llama 3 8B
Aperçu du modèle
Llama 3 70B and Llama 3 8B are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Spécifications clés
| Fournisseur | Date de sortie | Fenêtre de contexte | Licence |
|---|---|---|---|
| Meta / Meta | 2024-04-18 / 2024-04-18 | 8K / 8K | Llama 3 Community License / Llama 3 Community License |
Performance aux benchmarks
| Benchmark | Llama 3 70B | Llama 3 8B | Gagnant |
|---|---|---|---|
| ARC | 93.4 | 91.2 | A |
| BBH (BIG-Bench Hard) | 77.6 | 65.0 | A |
| GPQA | 38.2 | 27.9 | A |
| GSM8K (Grade School Math 8K) | 76.2 | 56.6 | A |
| HumanEval | 73.0 | 65.0 | A |
| IFEval | 72.2 | 68.2 | A |
| MATH | 50.1 | 40.0 | A |
| MMLU (Massive Multitask Language Understanding) | 79.5 | 67.8 | A |
| MUSR | 51.2 | 46.1 | A |
| WinoGrande | 79.2 | 75.6 | A |
Comparaison des prix
| Entrée | Sortie | Lecture cache | Écriture cache |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
par million de jetons — A / B
Forces & Faiblesses
Llama 3 70B
- ✅ 可靠的通用模型。
- ⚠️ 闭源专有模型，不支持自托管。
- ⚠️ 上下文窗口 8K 偏小。
Llama 3 8B
- ✅ 可靠的通用模型。
- ⚠️ 闭源专有模型，不支持自托管。
- ⚠️ 上下文窗口 8K 偏小。
Avis de la rédaction
Llama 3 70B and Llama 3 8B 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.
Références
Editor's Take
See Editor's Take section.