Model Comparison

Command R+ vs Gemma 2 9B

Command R+ significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Command R+ outperforms in 5 benchmarks (ARC-C, GSM8k, HellaSwag, MMLU, Winogrande), while Gemma 2 9B is better at 0 benchmarks.

Command R+ significantly outperforms across most benchmarks.

Sun May 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

94.8B diff

Command R+ has 94.8B more parameters than Gemma 2 9B, making it 1025.5% larger.

Cohere
Command R+
104.0Bparameters
Google
Gemma 2 9B
9.2Bparameters
104.0B
Command R+
9.2B
Gemma 2 9B

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 2 9B
Input- tokens
Output- tokens
Sun May 24 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Gemma 2 9B uses Gemma.

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

Command R+

CC BY-NC

Open weights

Gemma 2 9B

Gemma

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Gemma 2 9B was released on 2024-06-27.

Command R+ is 2 months newer than Gemma 2 9B.

Command R+

Aug 30, 2024

1.7 years ago

2mo newer
Gemma 2 9B

Jun 27, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Larger context window (128,000 tokens)
Higher ARC-C score (71.0% vs 68.4%)
Higher GSM8k score (70.7% vs 68.6%)
Higher HellaSwag score (88.6% vs 81.9%)
Higher MMLU score (75.7% vs 71.3%)
Higher Winogrande score (85.4% vs 80.6%)
Google

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Google
Gemma 2 9B

FAQ

Common questions about Command R+ vs Gemma 2 9B.

Which is better, Command R+ or Gemma 2 9B?

Command R+ significantly outperforms across most benchmarks. Command R+ is made by Cohere and Gemma 2 9B 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 2 9B in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%.

What are the context window sizes for Command R+ and Gemma 2 9B?

Command R+ supports 128K tokens and Gemma 2 9B 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 2 9B?

Key differences include licensing (CC BY-NC vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Gemma 2 9B?

Command R+ is developed by Cohere and Gemma 2 9B is developed by Google.