Model Comparison
Gemma 3 12B vs GPT-4o miniWhich is better in 2026?
Gemma 3 12B shows notably better performance in the majority of benchmarks. Gemma 3 12B is 4.2x cheaper per token.
Verdict: Gemma 3 12B vs GPT-4o mini — which is better?
Gemma 3 12B (by Google) and GPT-4o mini (by OpenAI) 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.
Gemma 3 12B outperforms in 2 benchmarks (GPQA, MATH), while GPT-4o mini is better at 1 benchmark (HumanEval). Gemma 3 12B shows notably better performance in the majority of benchmarks.
On price, Gemma 3 12B is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemma 3 12B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 3 12B if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- cost matters — it's about 4.2x 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
- you need open weights you can self-host or fine-tune
Choose GPT-4o mini if…
- you want predictable pricing at $0.15/M input and $0.60/M output
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 12B outperforms in 2 benchmarks (GPQA, MATH), while GPT-4o mini is better at 1 benchmark (HumanEval).
Gemma 3 12B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 12B ($0.05/1M tokens) is 3.0x cheaper than GPT-4o mini ($0.15/1M tokens).
For output processing, Gemma 3 12B ($0.10/1M tokens) is 6.0x cheaper than GPT-4o mini ($0.60/1M tokens).
In conclusion, GPT-4o mini 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
Gemma 3 12B accepts 131,072 input tokens compared to GPT-4o mini's 128,000 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Both Gemma 3 12B and GPT-4o mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 12B
GPT-4o mini
License
Usage and distribution terms
Gemma 3 12B is licensed under Gemma, while GPT-4o mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3 12B was released on 2025-03-12, while GPT-4o mini was released on 2024-07-18.
Gemma 3 12B is 8 months newer than GPT-4o mini.
Mar 12, 2025
1.2 years ago
7mo newerJul 18, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Gemma 3 12B's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Gemma 3 12B's cutoff date.
—
Oct 2023
Provider Availability
Gemma 3 12B is available from DeepInfra. GPT-4o mini is available from Azure.
Gemma 3 12B
GPT-4o mini
Outputs Comparison
Key Takeaways
Gemma 3 12B
View detailsGPT-4o mini
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Gemma 3 12B vs GPT-4o mini.