Model Comparison

Gemma 2 9B vs o1-mini

o1-mini significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 2 9B outperforms in 0 benchmarks, while o1-mini is better at 2 benchmarks (HumanEval, MMLU).

o1-mini significantly outperforms across most benchmarks.

Wed May 27 2026 • llm-stats.com

Arena Performance

Human preference votes

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).

Google
Gemma 2 9B
Input- tokens
Output- tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Wed May 27 2026 • llm-stats.com

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 2 9B

Gemma

Open weights

o1-mini

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.

Gemma 2 9B

Jun 27, 2024

1.9 years ago

o1-mini

Sep 12, 2024

1.7 years ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Has open weights
OpenAI
Larger context window (128,000 tokens)
Higher HumanEval score (92.4% vs 40.2%)
Higher MMLU score (85.2% vs 71.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
OpenAI
o1-mini

FAQ

Common questions about Gemma 2 9B vs o1-mini.

Which is better, Gemma 2 9B or o1-mini?

o1-mini significantly outperforms across most benchmarks. Gemma 2 9B is made by Google and o1-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 2 9B compare to o1-mini in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.

What are the context window sizes for Gemma 2 9B and o1-mini?

Gemma 2 9B supports an unknown number of tokens and o1-mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 2 9B and o1-mini?

Key differences include licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and o1-mini?

Gemma 2 9B is developed by Google and o1-mini is developed by OpenAI.