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Llama Guard 4 12B vs Voxtral Small 24B 2507 (Comparative Analysis)

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Comparative Analysis: Llama Guard 4 12B vs. Voxtral Small 24B 2507
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Overview

Llama Guard 4 12B was released 6 months before Voxtral Small 24B 2507.
Llama Guard 4 12BLlama Guard 4 12B
Voxtral Small 24B 2507Voxtral Small 24B 2507
Model Provider
The organization behind this AI's development
Meta logoMeta
Mistral logoMistral
Input Context Window
Maximum input tokens this model can process at once
163.8K
tokens
32K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
Not specified
tokens
Not specified
tokens
Release Date
When this model first became publicly available
April 30th, 2025
October 30th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Llama Guard 4 12B
Voxtral Small 24B 2507
Input Types
Supported input formats
🖼️Image📝Text
📝Text🎵Audio
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
OtherMistral
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
Available on HuggingFace →Available on HuggingFace →

Pricing

Llama Guard 4 12B is roughly 1.8x more expensive compared to Voxtral Small 24B 2507 for input tokens and roughly 0.6x less expensive for output tokens.
Llama Guard 4 12BLlama Guard 4 12B
Voxtral Small 24B 2507Voxtral Small 24B 2507
Input Token Cost
Cost per million input tokens
$0.18
per million tokens
$0.10
per million tokens
Output Token Cost
Cost per million outut tokens
$0.18
per million tokens
$0.30
per million tokens

Benchmarks

Compare relevant benchmarks between Llama Guard 4 12B and Voxtral Small 24B 2507.
Llama Guard 4 12BLlama Guard 4 12B
Voxtral Small 24B 2507Voxtral Small 24B 2507
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 Llama Guard 4 12B and Voxtral Small 24B 2507 unique.
Meta logoLlama Guard 4 12B by Meta understands both text and images, generates structured data. It can handle standard conversations with its 163.8K token context window. Very affordable at $0.18/M input and $0.18/M output tokens. Released April 30th, 2025.
Mistral logoVoxtral Small 24B 2507 by Mistral handles audio, can use external tools and APIs, generates structured data. It can handle standard conversations with its 32K token context window. Very affordable at $0.10/M input and $0.30/M output tokens. Released October 30th, 2025.

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