Model Comparison

Gemini 2.5 Pro Preview 06-05 vs Gemma 2 27BWhich is better in 2026?

Comparing Gemini 2.5 Pro Preview 06-05 and Gemma 2 27B across benchmarks, pricing, and capabilities.

Verdict: Gemini 2.5 Pro Preview 06-05 vs Gemma 2 27B — which is better?

Gemini 2.5 Pro Preview 06-05 (by Google) and Gemma 2 27B (by Google) 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 Gemini 2.5 Pro Preview 06-05 if…

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

Choose Gemma 2 27B if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.5 Pro Preview 06-05 and Gemma 2 27Bdon'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 Gemini 2.5 Pro Preview 06-05 specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro Preview 06-05 specifies output context (65,535 tokens).

Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Google
Gemma 2 27B
Input- tokens
Output- tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas Gemma 2 27B does not.

Gemini 2.5 Pro Preview 06-05 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

Gemma 2 27B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro Preview 06-05 is licensed under a proprietary license, while Gemma 2 27B uses Gemma.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.5 Pro Preview 06-05

Proprietary

Closed source

Gemma 2 27B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05, while Gemma 2 27B was released on 2024-06-27.

Gemini 2.5 Pro Preview 06-05 is 11 months newer than Gemma 2 27B.

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

1.0 years ago

11mo newer
Gemma 2 27B

Jun 27, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro Preview 06-05 has a documented knowledge cutoff of 2025-01-31, while Gemma 2 27B's cutoff date is not specified.

We can confirm Gemini 2.5 Pro Preview 06-05's training data extends to 2025-01-31, but cannot make a direct comparison without Gemma 2 27B's cutoff date.

Gemini 2.5 Pro Preview 06-05

Jan 2025

Gemma 2 27B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro Preview 06-05
Google
Gemma 2 27B

FAQ

Common questions about Gemini 2.5 Pro Preview 06-05 vs Gemma 2 27B.

Which is better, Gemini 2.5 Pro Preview 06-05 or Gemma 2 27B?

Gemini 2.5 Pro Preview 06-05 (Google) and Gemma 2 27B (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 2.5 Pro Preview 06-05 compare to Gemma 2 27B in benchmarks?

Gemini 2.5 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%. Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%.

What are the context window sizes for Gemini 2.5 Pro Preview 06-05 and Gemma 2 27B?

Gemini 2.5 Pro Preview 06-05 supports 1.0M tokens and Gemma 2 27B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Pro Preview 06-05 and Gemma 2 27B?

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