Model Comparison
o1 vs Gemma 3 4BWhich is better in 2026?
o1 significantly outperforms across most benchmarks. Gemma 3 4B is 1050.0x cheaper per token.
Verdict: o1 vs Gemma 3 4B — which is better?
o1 (by OpenAI) 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.
o1 outperforms in 5 benchmarks (GPQA, GSM8k, HumanEval, MATH, SimpleQA), while Gemma 3 4B is better at 0 benchmarks. o1 significantly outperforms across most benchmarks.
On price, Gemma 3 4B is roughly 1050.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o1 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose o1 if…
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
Choose Gemma 3 4B if…
- cost matters — it's about 1050.0x cheaper per token
- 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
o1 outperforms in 5 benchmarks (GPQA, GSM8k, HumanEval, MATH, SimpleQA), while Gemma 3 4B is better at 0 benchmarks.
o1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, o1 ($15.00/1M tokens) is 750.0x more expensive than Gemma 3 4B ($0.02/1M tokens).
For output processing, o1 ($60.00/1M tokens) is 1500.0x more expensive than Gemma 3 4B ($0.04/1M tokens).
In conclusion, o1 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
o1 accepts 200,000 input tokens compared to Gemma 3 4B's 131,072 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while o1 is limited to 100,000 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3 4B supports multimodal inputs, whereas o1 does not.
Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
o1
Gemma 3 4B
License
Usage and distribution terms
o1 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
o1 was released on 2024-12-17, while Gemma 3 4B was released on 2025-03-12.
Gemma 3 4B is 3 months newer than o1.
Dec 17, 2024
1.6 years ago
Mar 12, 2025
1.3 years ago
2mo newerKnowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while o1's cutoff date is not specified.
We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without o1's cutoff date.
—
Aug 2024
Provider Availability
o1 is available from Azure, OpenAI. Gemma 3 4B is available from DeepInfra.
o1
Gemma 3 4B
Outputs Comparison
Key Takeaways
o1
View detailsOpenAI
Gemma 3 4B
View detailsDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against o1 and Gemma 3 4B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about o1 vs Gemma 3 4B.