Model Comparison

Command R+ vs Gemma 3 4B

Gemma 3 4B significantly outperforms across most benchmarks. Gemma 3 4B is 17.5x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while Gemma 3 4B is better at 1 benchmark (GSM8k).

Gemma 3 4B significantly outperforms across most benchmarks.

Sat Apr 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Command R+ ($0.25/1M tokens) is 12.5x more expensive than Gemma 3 4B ($0.02/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 25.0x more expensive than Gemma 3 4B ($0.04/1M tokens).

In conclusion, Command R+ is more expensive than Gemma 3 4B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Apr 04 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
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Model Size

Parameter count comparison

100.0B diff

Command R+ has 100.0B more parameters than Gemma 3 4B, making it 2500.0% larger.

Cohere
Command R+
104.0Bparameters
Google
Gemma 3 4B
4.0Bparameters
104.0B
Command R+
4.0B
Gemma 3 4B

Context Window

Maximum input and output token capacity

Gemma 3 4B accepts 131,072 input tokens compared to Command R+'s 128,000 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while Command R+ is limited to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Sat Apr 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas Command R+ does not.

Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Gemma 3 4B

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Gemma 3 4B 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 4B

Gemma

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Gemma 3 4B was released on 2025-03-12.

Gemma 3 4B is 6 months newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

Gemma 3 4B

Mar 12, 2025

1.1 years ago

6mo newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Command R+'s cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

Gemma 3 4B

Aug 2024

Provider Availability

Command R+ is available from Cohere, Bedrock. Gemma 3 4B is available from DeepInfra.

Command R+

cohere logo
Cohere
Input Price:Input: $0.25/1MOutput Price:Output: $1.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GSM8k score (89.2% vs 70.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Google
Gemma 3 4B

FAQ

Common questions about Command R+ vs Gemma 3 4B

Gemma 3 4B significantly outperforms across most benchmarks. Command R+ is made by Cohere and Gemma 3 4B 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 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%.
Gemma 3 4B is 12.5x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra.
Command R+ supports 128K tokens and Gemma 3 4B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($0.25 vs $0.02/M), multimodal support (no vs yes), 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 4B is developed by Google.