Model Comparison

Command R+ vs Magistral Medium

Comparing Command R+ and Magistral Medium across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and Magistral Medium don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

80.0B diff

Command R+ has 80.0B more parameters than Magistral Medium, making it 333.3% larger.

Cohere
Command R+
104.0Bparameters
Mistral AI
Magistral Medium
24.0Bparameters
104.0B
Command R+
24.0B
Magistral Medium

Context Window

Maximum input and output token capacity

Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Magistral Medium supports multimodal inputs, whereas Command R+ does not.

Magistral Medium can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Magistral Medium uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Command R+

CC BY-NC

Open weights

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Magistral Medium was released on 2025-06-10.

Magistral Medium is 9 months newer than Command R+.

Command R+

Aug 30, 2024

1.7 years ago

Magistral Medium

Jun 10, 2025

11 months ago

9mo newer

Knowledge Cutoff

When training data ends

Magistral Medium has a documented knowledge cutoff of 2025-06-01, while Command R+'s cutoff date is not specified.

We can confirm Magistral Medium's training data extends to 2025-06-01, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

—

Magistral Medium

Jun 2025

Outputs Comparison

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Key Takeaways

Cohere
Larger context window (128,000 tokens)
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Mistral AI
Magistral Medium

FAQ

Common questions about Command R+ vs Magistral Medium.

Which is better, Command R+ or Magistral Medium?

Command R+ (Cohere) and Magistral Medium (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Command R+ compare to Magistral Medium in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.

What are the context window sizes for Command R+ and Magistral Medium?

Command R+ supports 128K tokens and Magistral Medium supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Command R+ and Magistral Medium?

Key differences include multimodal support (no vs yes), licensing (CC BY-NC vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Magistral Medium?

Command R+ is developed by Cohere and Magistral Medium is developed by Mistral AI.