Model Comparison

Command R+ vs Gemma 3n E4B

Command R+ significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Command R+ outperforms in 3 benchmarks (ARC-C, HellaSwag, Winogrande), while Gemma 3n E4B is better at 0 benchmarks.

Command R+ significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

96.0B diff

Command R+ has 96.0B more parameters than Gemma 3n E4B, making it 1200.0% larger.

Cohere
Command R+
104.0Bparameters
Google
Gemma 3n E4B
8.0Bparameters
104.0B
Command R+
8.0B
Gemma 3n E4B

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
Google
Gemma 3n E4B
Input- tokens
Output- tokens
Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas Command R+ does not.

Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Gemma 3n E4B

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Gemma 3n E4B uses a proprietary license.

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

Command R+

CC BY-NC

Open weights

Gemma 3n E4B

Proprietary

Closed source

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Gemma 3n E4B was released on 2025-06-26.

Gemma 3n E4B is 10 months newer than Command R+.

Command R+

Aug 30, 2024

1.7 years ago

Gemma 3n E4B

Jun 26, 2025

11 months ago

10mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while Command R+'s cutoff date is not specified.

We can confirm Gemma 3n E4B's training data extends to 2024-06-01, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

—

Gemma 3n E4B

Jun 2024

Outputs Comparison

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Key Takeaways

Cohere
Larger context window (128,000 tokens)
Has open weights
Higher ARC-C score (71.0% vs 61.6%)
Higher HellaSwag score (88.6% vs 78.6%)
Higher Winogrande score (85.4% vs 71.7%)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Google
Gemma 3n E4B

FAQ

Common questions about Command R+ vs Gemma 3n E4B.

Which is better, Command R+ or Gemma 3n E4B?

Command R+ significantly outperforms across most benchmarks. Command R+ is made by Cohere and Gemma 3n E4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Command R+ compare to Gemma 3n E4B in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%.

What are the context window sizes for Command R+ and Gemma 3n E4B?

Command R+ supports 128K tokens and Gemma 3n E4B 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 Gemma 3n E4B?

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

Who makes Command R+ and Gemma 3n E4B?

Command R+ is developed by Cohere and Gemma 3n E4B is developed by Google.