Llama 3.1 405B vs Command R+: Benchmark Comparison
Detailed comparison of Llama 3.1 405B and Command R+ covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | Llama 3.1 405B | Command R+ |
|---|---|---|
| Vendor | meta | cohere |
| Version | 3.1-405b | r-plus |
| Release Date | 2024-07-23 | 2024-04-04 |
| Context Window | 128000 tokens | 128000 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | Llama 3 Community License | CC-BY-NC-4.0 |
| SOC2 | ✗ | ✓ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✓ |
| ISO 27001 | ✗ | ✓ |
Benchmark Results
| Benchmark | Llama 3.1 405B | Command R+ | Winner |
|---|---|---|---|
| BBH | 82.9 | 66.1 | Llama 3.1 405B |
| GSM8K | 89.2 | 68.4 | Llama 3.1 405B |
| HUMANEVAL | 89 | 70.7 | Llama 3.1 405B |
| MATH | 73.8 | 35.6 | Llama 3.1 405B |
| MMLU | 88.6 | 75 | Llama 3.1 405B |
Pricing Comparison
| Tier (per Mtok) | Llama 3.1 405B | Command R+ |
|---|---|---|
| Input | $5 | $2.5 |
| Output | $15 | $10 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
Llama 3.1 405B 대 Command R+
모델 개요
Llama 3.1 405B and Command R+ are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
핵심 사양
| 공급업체 | 출시일 | 컨텍스트 창 | 라이선스 |
|---|---|---|---|
| Meta / Cohere | 2024-07-23 / 2024-04-04 | 128K / 128K | Llama 3 Community License / CC-BY-NC-4.0 |
벤치마크 성능
| 벤치마크 | Llama 3.1 405B | Command R+ | 승자 |
|---|---|---|---|
| BBH (BIG-Bench Hard) | 82.9 | 66.1 | A |
| GSM8K (Grade School Math 8K) | 89.2 | 68.4 | A |
| HumanEval | 89.0 | 70.7 | A |
| MATH | 73.8 | 35.6 | A |
| MMLU (Massive Multitask Language Understanding) | 88.6 | 75.0 | A |
가격 비교
| 입력 | 출력 | 캐시 읽기 | 캐시 쓰기 |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
백만 토큰당 — A / B
강점 & 약점
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。
Command R+
- ✅ 企业级合规认证。
- ⚠️ 闭源专有模型，不支持自托管。
편집자 의견
Llama 3.1 405B and Command R+ 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.
참고문헌
Editor's Take
See Editor's Take section.