Model Comparison
GPT-4o vs Gemma 3 12BWhich is better in 2026?
GPT-4o significantly outperforms across most benchmarks. Gemma 3 12B is 70.0x cheaper per token.
Verdict: GPT-4o vs Gemma 3 12B — which is better?
GPT-4o (by OpenAI) 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.
GPT-4o outperforms in 6 benchmarks (AI2D, ChartQA, DocVQA, GPQA, MMLU-Pro, SimpleQA), while Gemma 3 12B is better at 1 benchmark (IFEval). GPT-4o significantly outperforms across most benchmarks.
On price, Gemma 3 12B is roughly 70.0x 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 GPT-4o if…
- you want the strongest raw capability — it leads on 6 of 7 shared benchmarks
Choose Gemma 3 12B if…
- cost matters — it's about 70.0x 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
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 6 benchmarks (AI2D, ChartQA, DocVQA, GPQA, MMLU-Pro, SimpleQA), while Gemma 3 12B is better at 1 benchmark (IFEval).
GPT-4o significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 50.0x more expensive than Gemma 3 12B ($0.05/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 100.0x more expensive than Gemma 3 12B ($0.10/1M tokens).
In conclusion, GPT-4o 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's 128,000 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while GPT-4o is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-4o and Gemma 3 12B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Gemma 3 12B
License
Usage and distribution terms
GPT-4o 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
GPT-4o was released on 2024-08-06, while Gemma 3 12B was released on 2025-03-12.
Gemma 3 12B is 7 months newer than GPT-4o.
Aug 6, 2024
1.9 years ago
Mar 12, 2025
1.3 years ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. Gemma 3 12B is available from DeepInfra.
GPT-4o
Gemma 3 12B
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
Gemma 3 12B
View detailsDetailed Comparison
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FAQ
Common questions about GPT-4o vs Gemma 3 12B.