Gemma 2 9B vs o1-mini
o1-mini significantly outperforms across most benchmarks.
Google · OpenAI · Updated for 2026
Which is better?
Gemma 2 9B outperforms in 0 benchmarks, while o1-mini is better at 2 benchmarks (HumanEval, MMLU). o1-mini significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemma 2 9B
- you need open weights you can self-host or fine-tune
Choose o1-mini
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 2 9B outperforms in 0 benchmarks, while o1-mini is better at 2 benchmarks (HumanEval, MMLU).
o1-mini significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Context Window
Maximum input and output token capacity
Only o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).
License
Usage and distribution terms
Gemma 2 9B is licensed under Gemma, while o1-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 2 9B was released on 2024-06-27, while o1-mini was released on 2024-09-12.
o1-mini is 3 months newer than Gemma 2 9B.
Jun 27, 2024
2.2 years ago
Sep 12, 2024
2.0 years ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 2 9B and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 2 9B vs o1-mini.