Model Comparison

Command R+ vs Magistral Small 2506

Comparing Command R+ and Magistral Small 2506 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and Magistral Small 2506 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Mistral AI
Magistral Small 2506
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

80.0B diff

Command R+ has 80.0B more parameters than Magistral Small 2506, making it 333.3% larger.

Cohere
Command R+
104.0Bparameters
Mistral AI
Magistral Small 2506
24.0Bparameters
104.0B
Command R+
24.0B
Magistral Small 2506

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 Small 2506
Input- tokens
Output- tokens
Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Magistral Small 2506 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 Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Magistral Small 2506 was released on 2025-06-10.

Magistral Small 2506 is 9 months newer than Command R+.

Command R+

Aug 30, 2024

1.7 years ago

Magistral Small 2506

Jun 10, 2025

10 months ago

9mo newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Command R+'s cutoff date is not specified.

We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

—

Magistral Small 2506

Jun 2025

Outputs Comparison

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Key Takeaways

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

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Mistral AI
Magistral Small 2506

FAQ

Common questions about Command R+ vs Magistral Small 2506

Command R+ (Cohere) and Magistral Small 2506 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.
Command R+ supports 128K tokens and Magistral Small 2506 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (CC BY-NC vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and Magistral Small 2506 is developed by Mistral AI.