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Gemma 2 9B vs GPT-5 nano

Comparing Gemma 2 9B and GPT-5 nano across benchmarks, pricing, and capabilities.

Google · OpenAI · Updated for 2026

Which is better?

Gemma 2 9B and GPT-5 nano trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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 GPT-5 nano

  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Gemma 2 9B
Google
GPT-5 nano
OpenAI
Benchmark wins
—
—
Input price
— / M
$0.05 / M
Output price
— / M
$0.40 / M
Context window
—
400,000
Released
Jun 2024
Aug 2025
License
Gemma
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 9B and GPT-5 nanodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas Gemma 2 9B does not.

GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

GPT-5 nano

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while GPT-5 nano 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

GPT-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while GPT-5 nano was released on 2025-08-07.

GPT-5 nano is 14 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.2 years ago

GPT-5 nano

Aug 7, 2025

1.0 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Gemma 2 9B's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Gemma 2 9B's cutoff date.

Gemma 2 9B

—

GPT-5 nano

May 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 2 9B and GPT-5 nano side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
GPT-5 nano
Open in Playground

FAQ

Common questions about Gemma 2 9B vs GPT-5 nano.

Which is better, Gemma 2 9B or GPT-5 nano?

Gemma 2 9B (Google) and GPT-5 nano (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 2 9B compare to GPT-5 nano in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%.

What are the context window sizes for Gemma 2 9B and GPT-5 nano?

Gemma 2 9B supports an unknown number of tokens and GPT-5 nano supports 400K 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 GPT-5 nano?

Key differences include multimodal support (no vs yes), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and GPT-5 nano?

Gemma 2 9B is developed by Google and GPT-5 nano is developed by OpenAI.

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