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Command R7B (12-2024) vs MiniMax M2 (Comparative Analysis)

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Comparative Analysis: Command R7B (12-2024) vs. MiniMax M2
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Overview

Command R7B (12-2024) was released 10 months before MiniMax M2.
Command R7B (12-2024)Command R7B (12-2024)
MiniMax M2MiniMax M2
Model Provider
The organization behind this AI's development
Cohere logoCohere
MiniMax logoMiniMax
Input Context Window
Maximum input tokens this model can process at once
128K
tokens
196.6K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
4K
tokens
65.5K
tokens
Release Date
When this model first became publicly available
December 14th, 2024
October 23rd, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Command R7B (12-2024)
MiniMax M2
Input Types
Supported input formats
📝Text
📝Text
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
CohereOther
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable on HuggingFace →

Pricing

Command R7B (12-2024) is roughly 0.2x less expensive compared to MiniMax M2 for input tokens and roughly 0.1x less expensive for output tokens.
Command R7B (12-2024)Command R7B (12-2024)
MiniMax M2MiniMax M2
Input Token Cost
Cost per million input tokens
$0.04
per million tokens
$0.20
per million tokens
Output Token Cost
Cost per million outut tokens
$0.15
per million tokens
$1.00
per million tokens

Benchmarks

Compare relevant benchmarks between Command R7B (12-2024) and MiniMax M2.
Command R7B (12-2024)Command R7B (12-2024)
MiniMax M2MiniMax M2
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 R7B (12-2024) and MiniMax M2 unique.
Cohere logoCommand R7B (12-2024) by Cohere generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.04/M input and $0.15/M output tokens. Includes built-in content moderation for safer outputs. Released December 14th, 2024.
MiniMax logoMiniMax M2 by MiniMax can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 196.6K token context window. Very affordable at $0.20/M input and $1.00/M output tokens. Released October 23rd, 2025.

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