The AI arena is free today

Open Superagent

Gemma 2 9B vs o1-mini

o1-mini leads the LLM Stats Score 10.0 to -4.9.

Google · OpenAI · Updated for 2026

Which is better?

o1-mini leads the overall LLM Stats Score 10.0 to -4.9, ranking #272 overall.

In the 2 individual benchmarks reported for both models, o1-mini wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 2 9B

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

Choose o1-mini

  • overall performance matters — it scores 10.0 and ranks #272 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Sep 2024

At a glance

The differences that matter most.

Core performance indexes
-4.9
#360
10.0
#272
-5.2
#353
10.3
#266
-11.0
#271
14.4
#140
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$3.00 / M
Output price
— / M
$12.00 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 9B
o1-mini
-3.8#315
10.9#248
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 6 for o1-mini

2 shared

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

o1-mini significantly outperforms across most benchmarks.

Thu Sep 24 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground 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).

Google
Gemma 2 9B
Input- tokens
Output- tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Thu Sep 24 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

2.2 years ago

o1-mini

Sep 12, 2024

2.0 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→

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

FAQ

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

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

o1-mini leads the LLM Stats Score 10.0 to -4.9. Gemma 2 9B is made by Google and o1-mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (-4.9 vs 10.0), 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.