Model Comparison
Command R+ vs Gemma 3 4BWhich is better in 2026?
Gemma 3 4B significantly outperforms across most benchmarks. Gemma 3 4B is 17.5x cheaper per token.
Verdict: Command R+ vs Gemma 3 4B — which is better?
Command R+ (by Cohere) and Gemma 3 4B (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 0 benchmarks, while Gemma 3 4B is better at 1 benchmark (GSM8k). Gemma 3 4B significantly outperforms across most benchmarks.
On price, Gemma 3 4B is roughly 17.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemma 3 4B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Command R+ if…
- you want predictable pricing at $0.25/M input and $1.00/M output
Choose Gemma 3 4B if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 17.5x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Mar 2025
Performance Benchmarks
Comparative analysis across standard metrics
Command R+ outperforms in 0 benchmarks, while Gemma 3 4B is better at 1 benchmark (GSM8k).
Gemma 3 4B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
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
Model Size
Parameter count comparison
Command R+ has 100.0B more parameters than Gemma 3 4B, making it 2500.0% larger.
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.
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+
Gemma 3 4B
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.
CC BY-NC
Open weights
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+.
Aug 30, 2024
1.8 years ago
Mar 12, 2025
1.3 years ago
6mo newerKnowledge 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.
—
Aug 2024
Provider Availability
Command R+ is available from Cohere, Bedrock. Gemma 3 4B is available from DeepInfra.
Command R+
Gemma 3 4B
Outputs Comparison
Key Takeaways
Command R+
View detailsCohere
No standout differentiators in the data we have for this pair.
Gemma 3 4B
View detailsDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Command R+ and Gemma 3 4B side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about Command R+ vs Gemma 3 4B.