Model Comparison

Gemma 2 27B vs GPT-5 nanoWhich is better in 2026?

Comparing Gemma 2 27B and GPT-5 nano across benchmarks, pricing, and capabilities.

Verdict: Gemma 2 27B vs GPT-5 nano — which is better?

Gemma 2 27B (by Google) and GPT-5 nano (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.

Choose Gemma 2 27B if…

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

Choose GPT-5 nano if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 27B and GPT-5 nanodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

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 27B
Input- tokens
Output- tokens
OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas Gemma 2 27B does not.

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

Gemma 2 27B

Text
Images
Audio
Video

GPT-5 nano

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 27B 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 27B

Gemma

Open weights

GPT-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 27B 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 27B.

Gemma 2 27B

Jun 27, 2024

2.0 years ago

GPT-5 nano

Aug 7, 2025

10 months 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 27B'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 27B's cutoff date.

Gemma 2 27B

—

GPT-5 nano

May 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Has open weights
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 2 27B and GPT-5 nano side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
GPT-5 nano
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 2 27B
OpenAI
GPT-5 nano

FAQ

Common questions about Gemma 2 27B vs GPT-5 nano.

Which is better, Gemma 2 27B or GPT-5 nano?

Gemma 2 27B (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 27B compare to GPT-5 nano in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. 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 27B and GPT-5 nano?

Gemma 2 27B 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 27B 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 27B and GPT-5 nano?

Gemma 2 27B is developed by Google and GPT-5 nano is developed by OpenAI.

Related comparisons