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Command R+ (08-2024) vs Llama 4 Scout (Comparative Analysis)

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Comparative Analysis: Command R+ (08-2024) vs. Llama 4 Scout
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Overview

Command R+ (08-2024) was released 7 months before Llama 4 Scout.
Command R+ (08-2024)Command R+ (08-2024)
Llama 4 ScoutLlama 4 Scout
Model Provider
The organization behind this AI's development
Cohere logoCohere
Meta logoMeta
Input Context Window
Maximum input tokens this model can process at once
128K
tokens
1.3M
tokens
Output Token Limit
Maximum output tokens this model can generate at once
4K
tokens
16.4K
tokens
Release Date
When this model first became publicly available
August 30th, 2024
April 5th, 2025
Knowledge Cutoff
Latest training-data date reported by the provider
March 31, 2024
August 31, 2024

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Command R+ (08-2024)
Llama 4 Scout
Input Types
Supported input formats
📝Text
📝Text🖼️Image
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
CohereLlama4
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable on HuggingFace →

Pricing

Command R+ (08-2024) is roughly 25.0x more expensive compared to Llama 4 Scout for input tokens and roughly 33.3x more expensive for output tokens.
Command R+ (08-2024)Command R+ (08-2024)
Llama 4 ScoutLlama 4 Scout
Input Token Cost
Cost per million input tokens
$2.50
per million tokens
$0.10
per million tokens
Output Token Cost
Cost per million output tokens
$10.00
per million tokens
$0.30
per million tokens

Benchmarks

Compare relevant benchmarks between Command R+ (08-2024) and Llama 4 Scout.
Command R+ (08-2024)Command R+ (08-2024)
Llama 4 ScoutLlama 4 Scout
Intelligence Index
Overall model quality across independent evaluations
Benchmark not available.
10
(Artificial Analysis index; higher is better)
Coding Index
Programming performance across independent evaluations
Benchmark not available.
8.2
(Artificial Analysis index; higher is better)
Agentic Index
Ability to complete multi-step agentic tasks
Benchmark not available.
1.1
(Artificial Analysis index; higher is better)
Best Design Arena Score
Highest human-preference Elo score across design arenas
Benchmark not available.
929 Elo
(#105 in Data Viz (39.3% win rate))

At a Glance

Quick overview of what makes Command R+ (08-2024) and Llama 4 Scout unique.
Cohere logoCommand R+ (08-2024) by Cohere can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Reasonably priced at $2.50/M input and $10.00/M output tokens. Includes built-in content moderation for safer outputs. Released August 30th, 2024.
Meta logoLlama 4 Scout by Meta understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 1.3M token context window. Very affordable at $0.10/M input and $0.30/M output tokens. Released April 5th, 2025.

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