Model Comparison
Gemini 3 Pro vs Gemma 3 4BWhich is better in 2026?
Gemini 3 Pro significantly outperforms across most benchmarks. Gemma 3 4B is 180.0x cheaper per token.
Verdict: Gemini 3 Pro vs Gemma 3 4B — which is better?
Gemini 3 Pro (by Google) 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.
Gemini 3 Pro outperforms in 3 benchmarks (FACTS Grounding, GPQA, SimpleQA), while Gemma 3 4B is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.
On price, Gemma 3 4B is roughly 180.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3 Pro if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2025
Choose Gemma 3 4B if…
- cost matters — it's about 180.0x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Pro outperforms in 3 benchmarks (FACTS Grounding, GPQA, SimpleQA), while Gemma 3 4B is better at 0 benchmarks.
Gemini 3 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 100.0x more expensive than Gemma 3 4B ($0.02/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 300.0x more expensive than Gemma 3 4B ($0.04/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Pro accepts 1,048,576 input tokens compared to Gemma 3 4B's 131,072 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3 Pro and Gemma 3 4B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Pro
Gemma 3 4B
License
Usage and distribution terms
Gemini 3 Pro is licensed under a proprietary license, while Gemma 3 4B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Gemma
Open weights
Release Timeline
When each model was launched
Gemini 3 Pro was released on 2025-11-18, while Gemma 3 4B was released on 2025-03-12.
Gemini 3 Pro is 8 months newer than Gemma 3 4B.
Nov 18, 2025
7 months ago
8mo newerMar 12, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Gemini 3 Pro has a knowledge cutoff of 2025-01-31, while Gemma 3 4B has a cutoff of 2024-08-01.
Gemini 3 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Gemma 3 4B (2024-08-01).
Jan 2025
5 mo newerAug 2024
Provider Availability
Gemini 3 Pro is available from Google. Gemma 3 4B is available from DeepInfra.
Gemini 3 Pro
Gemma 3 4B
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsGemma 3 4B
View detailsDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3 Pro and Gemma 3 4B side-by-side, then vote on the output you prefer.
| Feature |
|---|
FAQ
Common questions about Gemini 3 Pro vs Gemma 3 4B.