Model Comparison

Command R+ vs Gemma 3 1B

Command R+ significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 1 benchmarks (GSM8k), while Gemma 3 1B is better at 0 benchmarks.

Command R+ significantly outperforms across most benchmarks.

Wed Apr 22 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
Wed Apr 22 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Google
Gemma 3 1B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

103.0B diff

Command R+ has 103.0B more parameters than Gemma 3 1B, making it 10300.0% larger.

Cohere
Command R+
104.0Bparameters
Google
Gemma 3 1B
1.0Bparameters
104.0B
Command R+
1.0B
Gemma 3 1B

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 3 1B
Input- tokens
Output- tokens
Wed Apr 22 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Gemma 3 1B 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 3 1B

Gemma

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Gemma 3 1B was released on 2025-03-12.

Gemma 3 1B is 6 months newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

Gemma 3 1B

Mar 12, 2025

1.1 years ago

6mo 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

Cohere
Larger context window (128,000 tokens)
Higher GSM8k score (70.7% vs 62.8%)
Google

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Google
Gemma 3 1B

FAQ

Common questions about Command R+ vs Gemma 3 1B

Command R+ significantly outperforms across most benchmarks. Command R+ is made by Cohere and Gemma 3 1B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Gemma 3 1B scores IFEval: 80.2%, GSM8k: 62.8%, Natural2Code: 56.0%, MATH: 48.0%, HumanEval: 41.5%.
Command R+ supports 128K tokens and Gemma 3 1B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (CC BY-NC vs Gemma). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and Gemma 3 1B is developed by Google.