Model Comparison

Gemma 2 9B vs o1-miniWhich is better in 2026?

o1-mini significantly outperforms across most benchmarks.

Verdict: Gemma 2 9B vs o1-mini — which is better?

Gemma 2 9B (by Google) and o1-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 2 9B outperforms in 0 benchmarks, while o1-mini is better at 2 benchmarks (HumanEval, MMLU). o1-mini significantly outperforms across most benchmarks.

Choose Gemma 2 9B if…

  • you need open weights you can self-host or fine-tune

Choose o1-mini if…

  • 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

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.

Fri Jun 26 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
Fri Jun 26 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

2.0 years ago

o1-mini

Sep 12, 2024

1.8 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

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 2 9B and o1-mini side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
o1-mini
Open in Playground
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.

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