Auto-generated comparison

Cohere: Command R+ (08-2024) vs Meta: Llama 3.1 405B Instruct

Meta: Llama 3.1 405B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityCohere: Command R+ (08-2024)Meta: Llama 3.1 405B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K131K🏆 Meta: Llama 3.1 405B Instruct
Input price (per 1M)
Cost per million input tokens billed by the provider.
$2.50$4.00🏆 Cohere: Command R+ (08-2024)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$10.00$4.00🏆 Meta: Llama 3.1 405B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Cohere: Command R+ (08-2024) better than Meta: Llama 3.1 405B Instruct?

Meta: Llama 3.1 405B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Cohere: Command R+ (08-2024) and Meta: Llama 3.1 405B Instruct?

Input: $2.50 vs $4.00 per 1M tokens. Output: $10.00 vs $4.00 per 1M tokens.

What context windows do Cohere: Command R+ (08-2024) and Meta: Llama 3.1 405B Instruct support?

Cohere: Command R+ (08-2024) supports up to 128K tokens. Meta: Llama 3.1 405B Instruct supports up to 131K tokens.

Do both Cohere: Command R+ (08-2024) and Meta: Llama 3.1 405B Instruct support tool calling?

Cohere: Command R+ (08-2024): yes. Meta: Llama 3.1 405B Instruct: yes.

Compare Cohere: Command R+ (08-2024) with other models

Compare Meta: Llama 3.1 405B Instruct with other models