Model Comparison
Gemini 3 Flash vs Gemma 3 12BWhich is better in 2026?
Gemini 3 Flash shows notably better performance in the majority of benchmarks. Gemma 3 12B is 18.0x cheaper per token.
Verdict: Gemini 3 Flash vs Gemma 3 12B — which is better?
Gemini 3 Flash (by Google) and Gemma 3 12B (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 Flash outperforms in 2 benchmarks (GPQA, SimpleQA), while Gemma 3 12B is better at 1 benchmark (FACTS Grounding). Gemini 3 Flash shows notably better performance in the majority of benchmarks.
On price, Gemma 3 12B is roughly 18.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3 Flash if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Dec 2025
Choose Gemma 3 12B if…
- cost matters — it's about 18.0x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Flash outperforms in 2 benchmarks (GPQA, SimpleQA), while Gemma 3 12B is better at 1 benchmark (FACTS Grounding).
Gemini 3 Flash shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Flash ($0.50/1M tokens) is 10.0x more expensive than Gemma 3 12B ($0.05/1M tokens).
For output processing, Gemini 3 Flash ($3.00/1M tokens) is 30.0x more expensive than Gemma 3 12B ($0.10/1M tokens).
In conclusion, Gemini 3 Flash is more expensive than Gemma 3 12B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Flash accepts 1,000,000 input tokens compared to Gemma 3 12B's 131,072 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while Gemini 3 Flash is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3 Flash and Gemma 3 12B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Flash
Gemma 3 12B
License
Usage and distribution terms
Gemini 3 Flash is licensed under a proprietary license, while Gemma 3 12B 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 Flash was released on 2025-12-17, while Gemma 3 12B was released on 2025-03-12.
Gemini 3 Flash is 9 months newer than Gemma 3 12B.
Dec 17, 2025
5 months ago
9mo newerMar 12, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Gemini 3 Flash has a documented knowledge cutoff of 2025-01-31, while Gemma 3 12B's cutoff date is not specified.
We can confirm Gemini 3 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without Gemma 3 12B's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Flash is available from Google. Gemma 3 12B is available from DeepInfra.
Gemini 3 Flash
Gemma 3 12B
Outputs Comparison
Key Takeaways
Gemma 3 12B
View detailsDetailed Comparison
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FAQ
Common questions about Gemini 3 Flash vs Gemma 3 12B.