Model Comparison

Command R+ vs Gemma 2 27BWhich is better in 2026?

Command R+ has a slight edge in benchmark performance.

Verdict: Command R+ vs Gemma 2 27B — which is better?

Command R+ (by Cohere) and Gemma 2 27B (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 3 benchmarks (HellaSwag, MMLU, Winogrande), while Gemma 2 27B is better at 2 benchmarks (ARC-C, GSM8k). Command R+ has a slight edge in benchmark performance.

Choose Command R+ if…

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
  • you want the most recent training data — it shipped Aug 2024

Choose Gemma 2 27B if…

  • you are already invested in the Google ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Command R+ outperforms in 3 benchmarks (HellaSwag, MMLU, Winogrande), while Gemma 2 27B is better at 2 benchmarks (ARC-C, GSM8k).

Command R+ has a slight edge in benchmark performance.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

76.8B diff

Command R+ has 76.8B more parameters than Gemma 2 27B, making it 282.4% larger.

Cohere
Command R+
104.0Bparameters
Google
Gemma 2 27B
27.2Bparameters
104.0B
Command R+
27.2B
Gemma 2 27B

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 27B
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Gemma 2 27B 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 27B

Gemma

Open weights

Release Timeline

When each model was launched

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

Command R+ is 2 months newer than Gemma 2 27B.

Command R+

Aug 30, 2024

1.8 years ago

2mo newer
Gemma 2 27B

Jun 27, 2024

2.0 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 HellaSwag score (88.6% vs 86.4%)
Higher MMLU score (75.7% vs 75.2%)
Higher Winogrande score (85.4% vs 83.7%)
Google
Higher ARC-C score (71.4% vs 71.0%)
Higher GSM8k score (74.0% vs 70.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Google
Gemma 2 27B

FAQ

Common questions about Command R+ vs Gemma 2 27B.

Which is better, Command R+ or Gemma 2 27B?

Command R+ has a slight edge in benchmark performance. Command R+ is made by Cohere and Gemma 2 27B 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 27B in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%.

What are the context window sizes for Command R+ and Gemma 2 27B?

Command R+ supports 128K tokens and Gemma 2 27B 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 27B?

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 27B?

Command R+ is developed by Cohere and Gemma 2 27B is developed by Google.

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