Galaxy.ai Logo

Command vs Llama 4 Scout (Comparative Analysis)

Compare
Comparative Analysis: Command vs. Llama 4 Scout
Want to try out these models side by side?Try Galaxy.ai for free

Overview

Command was released 1 year before Llama 4 Scout.
CommandCommand
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
4.1K
tokens
1M
tokens
Output Token Limit
Maximum output tokens this model can generate at once
4K
tokens
1M
tokens
Release Date
When this model first became publicly available
March 14th, 2024
April 5th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Command
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 is roughly 12.5x more expensive compared to Llama 4 Scout for input tokens and roughly 6.7x more expensive for output tokens.
CommandCommand
Llama 4 ScoutLlama 4 Scout
Input Token Cost
Cost per million input tokens
$1.00
per million tokens
$0.08
per million tokens
Output Token Cost
Cost per million outut tokens
$2.00
per million tokens
$0.30
per million tokens

Benchmarks

Compare relevant benchmarks between Command and Llama 4 Scout.
CommandCommand
Llama 4 ScoutLlama 4 Scout
MMLU
Measures knowledge across 57 subjects like law, math, history, and science
Benchmark not available.
Benchmark not available.
MMMU
Measures understanding of combined text and images across various domains
Benchmark not available.
Benchmark not available.
HellaSwag
Measures common sense reasoning by having models complete sentences about everyday situations
Benchmark not available.
Benchmark not available.

At a Glance

Quick overview of what makes Command and Llama 4 Scout unique.
Cohere logoCommand by Cohere generates structured data. It can handle standard conversations with its 4.1K token context window. Reasonably priced at $1.00/M input and $2.00/M output tokens. Includes built-in content moderation for safer outputs. Released March 14th, 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 1M token context window. Very affordable at $0.08/M input and $0.30/M output tokens. Released April 5th, 2025.

Explore More Comparisons

Compare your models with top performers across different categories

Compare Command with:

🚀Programming

Best models for coding and development

🎨Creative & Roleplay

Models optimized for creative writing

📢Marketing

Content creation and marketing tasks