Model Comparison

Command R+ vs Gemma 3n E2B InstructedWhich is better in 2026?

Command R+ significantly outperforms across most benchmarks.

Verdict: Command R+ vs Gemma 3n E2B Instructed — which is better?

Command R+ (by Cohere) and Gemma 3n E2B Instructed (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Command R+ outperforms in 1 benchmarks (MMLU), while Gemma 3n E2B Instructed is better at 0 benchmarks. Command R+ significantly outperforms across most benchmarks.

Choose Command R+ if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you need open weights you can self-host or fine-tune

Choose Gemma 3n E2B Instructed if…

  • you want the most recent training data — it shipped Jun 2025
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 1 benchmarks (MMLU), while Gemma 3n E2B Instructed is better at 0 benchmarks.

Command R+ significantly outperforms across most benchmarks.

Wed Jun 24 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 E2B Instructed, making it 1200.0% larger.

Cohere
Command R+
104.0Bparameters
Google
Gemma 3n E2B Instructed
8.0Bparameters
104.0B
Command R+
8.0B
Gemma 3n E2B Instructed

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 E2B Instructed
Input- tokens
Output- tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas Command R+ does not.

Gemma 3n E2B Instructed 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 E2B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Gemma 3n E2B Instructed 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 E2B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Gemma 3n E2B Instructed was released on 2025-06-26.

Gemma 3n E2B Instructed is 10 months newer than Command R+.

Command R+

Aug 30, 2024

1.8 years ago

Gemma 3n E2B Instructed

Jun 26, 2025

12 months ago

10mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Command R+'s cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

—

Gemma 3n E2B Instructed

Jun 2024

Outputs Comparison

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Key Takeaways

Cohere
Larger context window (128,000 tokens)
Has open weights
Higher MMLU score (75.7% vs 60.1%)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Google
Gemma 3n E2B Instructed

FAQ

Common questions about Command R+ vs Gemma 3n E2B Instructed.

Which is better, Command R+ or Gemma 3n E2B Instructed?

Command R+ significantly outperforms across most benchmarks. Command R+ is made by Cohere and Gemma 3n E2B Instructed 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 E2B Instructed in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%.

What are the context window sizes for Command R+ and Gemma 3n E2B Instructed?

Command R+ supports 128K tokens and Gemma 3n E2B Instructed 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 E2B Instructed?

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 E2B Instructed?

Command R+ is developed by Cohere and Gemma 3n E2B Instructed is developed by Google.

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