Key Specifications

SpecificationLlama 3.1 405BCommand R+
Vendormetacohere
Version3.1-405br-plus
Release Date2024-07-232024-04-04
Context Window128000 tokens128000 tokens
Input Modalitiestexttext
Output Modalitiestexttext
LicenseLlama 3 Community LicenseCC-BY-NC-4.0
SOC2
HIPAA
GDPR
ISO 27001

Benchmark Results

BenchmarkLlama 3.1 405BCommand R+Winner
BBH82.966.1Llama 3.1 405B
GSM8K89.268.4Llama 3.1 405B
HUMANEVAL8970.7Llama 3.1 405B
MATH73.835.6Llama 3.1 405B
MMLU88.675Llama 3.1 405B

Pricing Comparison

Tier (per Mtok)Llama 3.1 405BCommand R+
Input$5$2.5
Output$15$10
Cache Read$0$0
Cache Write$0$0

Llama 3.1 405B mot Command R+

Modellöversikt

Llama 3.1 405B and Command R+ are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.

Nyckelspecifikationer

LeverantörReleasedatumKontextfönsterLicens
Meta / Cohere2024-07-23 / 2024-04-04128K / 128KLlama 3 Community License / CC-BY-NC-4.0

Benchmarkprestanda

BenchmarkLlama 3.1 405BCommand R+Vinnare
BBH (BIG-Bench Hard)82.966.1A
GSM8K (Grade School Math 8K)89.268.4A
HumanEval89.070.7A
MATH73.835.6A
MMLU (Massive Multitask Language Understanding)88.675.0A

Prisjämförelse

InmatningUtmatningCacheläsningCacheskrivning
— / —— / —— / —— / —

per miljon tokens — A / B

Styrkor & Svagheter

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。

Redaktörens åsikt

Llama 3.1 405B and Command R+ each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.

Vanliga frågor

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.

Referenser

Editor's Take

See Editor's Take section.