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Gemma 2 9B vs o1-mini

o1-mini leads the LLM Stats Score 9.5 to -5.3.

Google · OpenAI · Updated for 2026

Which is better?

o1-mini leads the overall LLM Stats Score 9.5 to -5.3, ranking #292 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 9.5 and ranks #292 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
-5.3
#380
9.5
#292
-5.6
#373
9.7
#286
-11.1
#290
14.2
#156
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#327
10.8#260
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.

Sat Oct 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
Sat Oct 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

2.3 years ago

o1-mini

Sep 12, 2024

2.1 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?

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 9.5 to -5.3. 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 (-5.3 vs 9.5), 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.