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Llama 3.1 405B Instruct vs Voxtral Small 24B 2507 (Comparative Analysis)

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Comparative Analysis: Llama 3.1 405B Instruct vs. Voxtral Small 24B 2507
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Overview

Llama 3.1 405B Instruct was released 1 year before Voxtral Small 24B 2507.
Llama 3.1 405B InstructLlama 3.1 405B Instruct
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
130.8K
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
July 23rd, 2024
October 30th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Llama 3.1 405B Instruct
Voxtral Small 24B 2507
Input Types
Supported input formats
📝Text
📝Text🎵Audio
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
Llama3Mistral
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 3.1 405B Instruct is roughly 35.0x more expensive compared to Voxtral Small 24B 2507 for input tokens and roughly 11.7x more expensive for output tokens.
Llama 3.1 405B InstructLlama 3.1 405B Instruct
Voxtral Small 24B 2507Voxtral Small 24B 2507
Input Token Cost
Cost per million input tokens
$3.50
per million tokens
$0.10
per million tokens
Output Token Cost
Cost per million outut tokens
$3.50
per million tokens
$0.30
per million tokens

Benchmarks

Compare relevant benchmarks between Llama 3.1 405B Instruct and Voxtral Small 24B 2507.
Llama 3.1 405B InstructLlama 3.1 405B Instruct
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 3.1 405B Instruct and Voxtral Small 24B 2507 unique.
Meta logoLlama 3.1 405B Instruct by Meta can use external tools and APIs, generates structured data. It can handle standard conversations with its 130.8K token context window. Reasonably priced at $3.50/M input and $3.50/M output tokens. Released July 23rd, 2024.
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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