Galaxy.ai Logo

Gemini 2.5 Pro vs Magnum v4 72B (Comparative Analysis)

Compare
Comparative Analysis: Gemini 2.5 Pro vs. Magnum v4 72B
Want to try out these models side by side?Try Galaxy.ai for free

Overview

Magnum v4 72B was released 7 months before Gemini 2.5 Pro.
Gemini 2.5 ProGemini 2.5 Pro
Magnum v4 72BMagnum v4 72B
Model Provider
The organization behind this AI's development
Google logoGoogle
Anthracite logoAnthracite
Input Context Window
Maximum input tokens this model can process at once
1M
tokens
16.4K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
65.5K
tokens
1K
tokens
Release Date
When this model first became publicly available
June 17th, 2025
October 22nd, 2024

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Gemini 2.5 Pro
Magnum v4 72B
Input Types
Supported input formats
📁File🖼️Image📝Text🎵Audio
📝Text
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
GeminiQwen
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable on HuggingFace →

Pricing

Gemini 2.5 Pro is roughly 0.6x less expensive compared to Magnum v4 72B for input tokens and roughly 2.0x more expensive for output tokens.
Gemini 2.5 ProGemini 2.5 Pro
Magnum v4 72BMagnum v4 72B
Input Token Cost
Cost per million input tokens
$1.25
per million tokens
$2.00
per million tokens
Output Token Cost
Cost per million outut tokens
$10.00
per million tokens
$5.00
per million tokens

Benchmarks

Compare relevant benchmarks between Gemini 2.5 Pro and Magnum v4 72B.
Gemini 2.5 ProGemini 2.5 Pro
Magnum v4 72BMagnum v4 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 Gemini 2.5 Pro and Magnum v4 72B unique.
Google logoGemini 2.5 Pro by Google understands both text and images, handles audio, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1M token context window. Reasonably priced at $1.25/M input and $10.00/M output tokens. Released June 17th, 2025.
Anthracite logoMagnum v4 72B by Anthracite is a text-based AI model. It can handle standard conversations with its 16.4K token context window. Reasonably priced at $2.00/M input and $5.00/M output tokens. Released October 22nd, 2024.

Explore More Comparisons

Compare your models with top performers across different categories