Command R+ vs Gemma 3 4B
Command R+ and Gemma 3 4B are closely matched at -0.1 and -1.6 on the LLM Stats Score. Gemma 3 4B is 17.5x cheaper per token.
Cohere · Google · Updated for 2026
Which is better?
Command R+ and Gemma 3 4B are closely matched on the overall LLM Stats Score at -0.1 and -1.6.
In the 1 individual benchmarks reported for both models, Gemma 3 4B wins 1; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Command R+
- you want predictable pricing at $0.25/M input and $1.00/M output
Choose Gemma 3 4B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Command R+ · 26 for Gemma 3 4B
Command R+ outperforms in 0 benchmarks, while Gemma 3 4B is better at 1 benchmark (GSM8k).
Gemma 3 4B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
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
Documented input modalities across available providers
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
2.0 years ago
Mar 12, 2025
1.5 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
Judge for yourself.
Run your own prompts against Command R+ and Gemma 3 4B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Gemma 3 4B.