Model Comparison
Gemini 2.5 Flash-Lite vs Gemma 3 4BWhich is better in 2026?
Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks. Gemma 3 4B is 7.0x cheaper per token.
Verdict: Gemini 2.5 Flash-Lite vs Gemma 3 4B — which is better?
Gemini 2.5 Flash-Lite (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 2.5 Flash-Lite outperforms in 5 benchmarks (FACTS Grounding, Global-MMLU-Lite, GPQA, LiveCodeBench, SimpleQA), while Gemma 3 4B is better at 0 benchmarks. Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.
On price, Gemma 3 4B is roughly 7.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 2.5 Flash-Lite if…
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jun 2025
Choose Gemma 3 4B if…
- cost matters — it's about 7.0x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.5 Flash-Lite outperforms in 5 benchmarks (FACTS Grounding, Global-MMLU-Lite, GPQA, LiveCodeBench, SimpleQA), while Gemma 3 4B is better at 0 benchmarks.
Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 5.0x more expensive than Gemma 3 4B ($0.02/1M tokens).
For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 10.0x more expensive than Gemma 3 4B ($0.04/1M tokens).
In conclusion, Gemini 2.5 Flash-Lite 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 2.5 Flash-Lite 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 2.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 2.5 Flash-Lite and Gemma 3 4B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.5 Flash-Lite
Gemma 3 4B
License
Usage and distribution terms
Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Gemma 3 4B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
Creative Commons Attribution 4.0 License
Open weights
Gemma
Open weights
Release Timeline
When each model was launched
Gemini 2.5 Flash-Lite was released on 2025-06-17, while Gemma 3 4B was released on 2025-03-12.
Gemini 2.5 Flash-Lite is 3 months newer than Gemma 3 4B.
Jun 17, 2025
1.0 years ago
3mo newerMar 12, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, while Gemma 3 4B has a cutoff of 2024-08-01.
Gemini 2.5 Flash-Lite has more recent training data (up to 2025-01-01), 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 2.5 Flash-Lite is available from Google. Gemma 3 4B is available from DeepInfra.
Gemini 2.5 Flash-Lite
Gemma 3 4B
Outputs Comparison
Key Takeaways
Gemma 3 4B
View detailsDetailed Comparison
| Feature |
|---|
FAQ
Common questions about Gemini 2.5 Flash-Lite vs Gemma 3 4B.