Model Comparison

Gemini 1.5 Flash 8B vs Gemma 2 27BWhich is better in 2026?

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Verdict: Gemini 1.5 Flash 8B vs Gemma 2 27B — which is better?

Gemini 1.5 Flash 8B (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.

Gemini 1.5 Flash 8B outperforms in 1 benchmarks (MATH), while Gemma 2 27B is better at 0 benchmarks. Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Choose Gemini 1.5 Flash 8B if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Choose Gemma 2 27B if…

  • you want the most recent training data — it shipped Jun 2024
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 1.5 Flash 8B outperforms in 1 benchmarks (MATH), while Gemma 2 27B is better at 0 benchmarks.

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

19.2B diff

Gemma 2 27B has 19.2B more parameters than Gemini 1.5 Flash 8B, making it 240.0% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
Google
Gemma 2 27B
27.2Bparameters
8.0B
Gemini 1.5 Flash 8B
27.2B
Gemma 2 27B

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash 8B specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash 8B specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Google
Gemma 2 27B
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas Gemma 2 27B does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

Gemma 2 27B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B 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 1.5 Flash 8B

Proprietary

Closed source

Gemma 2 27B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Gemma 2 27B was released on 2024-06-27.

Gemma 2 27B is 3 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.2 years ago

Gemma 2 27B

Jun 27, 2024

2.0 years ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Gemma 2 27B's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Gemma 2 27B's cutoff date.

Gemini 1.5 Flash 8B

Oct 2024

Gemma 2 27B

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher MATH score (58.7% vs 42.3%)
Google
Has open weights
GoogleGemini 1.5 Flash 8B
GoogleGemma 2 27B
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash 8B
Google
Gemma 2 27B

FAQ

Common questions about Gemini 1.5 Flash 8B vs Gemma 2 27B.

Which is better, Gemini 1.5 Flash 8B or Gemma 2 27B?

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is made by Google and Gemma 2 27B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.5 Flash 8B compare to Gemma 2 27B in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. 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 1.5 Flash 8B and Gemma 2 27B?

Gemini 1.5 Flash 8B 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 1.5 Flash 8B 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.

Related comparisons