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GPT-4o-mini vs Magnum v2 72B (Comparative Analysis)

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Comparative Analysis: GPT-4o-mini vs. Magnum v2 72B
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Overview

GPT-4o-mini was released 2 months before Magnum v2 72B.
GPT-4o-miniGPT-4o-mini
Magnum v2 72BMagnum v2 72B
Model Provider
The organization behind this AI's development
OpenAI logoOpenAI
Anthracite logoAnthracite
Input Context Window
Maximum input tokens this model can process at once
128K
tokens
32.8K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
16.4K
tokens
Not specified
tokens
Release Date
When this model first became publicly available
July 18th, 2024
September 30th, 2024

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
GPT-4o-mini
Magnum v2 72B
Input Types
Supported input formats
📝Text🖼️Image📁File
📝Text
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
GPTQwen
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable on HuggingFace →

Pricing

GPT-4o-mini is roughly 0.05x less expensive compared to Magnum v2 72B for input tokens and roughly 0.2x less expensive for output tokens.
GPT-4o-miniGPT-4o-mini
Magnum v2 72BMagnum v2 72B
Input Token Cost
Cost per million input tokens
$0.15
per million tokens
$3.00
per million tokens
Output Token Cost
Cost per million outut tokens
$0.60
per million tokens
$3.00
per million tokens

Benchmarks

Compare relevant benchmarks between GPT-4o-mini and Magnum v2 72B.
GPT-4o-miniGPT-4o-mini
Magnum v2 72BMagnum v2 72B
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 GPT-4o-mini and Magnum v2 72B unique.
OpenAI logoGPT-4o-mini by OpenAI understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.15/M input and $0.60/M output tokens. Includes built-in content moderation for safer outputs. Released July 18th, 2024.
Anthracite logoMagnum v2 72B by Anthracite is a text-based AI model. It can handle standard conversations with its 32.8K token context window. Reasonably priced at $3.00/M input and $3.00/M output tokens. Released September 30th, 2024.

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