Model Comparison

Gemma 2 27B vs Command R+

Command R+ has a slight edge in benchmark performance.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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

Command R+ has a slight edge in benchmark performance.

Fri Apr 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 03 2026 • llm-stats.com
Google
Gemma 2 27B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

76.8B diff

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

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

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).

Google
Gemma 2 27B
Input- tokens
Output- tokens
Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Fri Apr 03 2026 • llm-stats.com

License

Usage and distribution terms

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

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

Gemma 2 27B

Gemma

Open weights

Command R+

CC BY-NC

Open weights

Release Timeline

When each model was launched

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

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

Gemma 2 27B

Jun 27, 2024

1.8 years ago

Command R+

Aug 30, 2024

1.6 years ago

2mo newer

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

Google
Higher ARC-C score (71.4% vs 71.0%)
Higher GSM8k score (74.0% vs 70.7%)
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%)

Detailed Comparison

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

FAQ

Common questions about Gemma 2 27B vs Command R+

Command R+ has a slight edge in benchmark performance. Gemma 2 27B is made by Google and Command R+ is made by Cohere. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%.
Gemma 2 27B supports an unknown number of tokens and Command R+ supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Gemma vs CC BY-NC). See the full comparison above for benchmark-by-benchmark results.
Gemma 2 27B is developed by Google and Command R+ is developed by Cohere.