Model Comparison

Gemini 3.5 Flash Cyber vs Llama 3.2 11B InstructWhich is better in 2026?

Comparing Gemini 3.5 Flash Cyber and Llama 3.2 11B Instruct across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash Cyber vs Llama 3.2 11B Instruct — which is better?

Gemini 3.5 Flash Cyber (by Google) and Llama 3.2 11B Instruct (by Meta) 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 3.5 Flash Cyber if…

  • you want the most recent training data — it shipped Jul 2026

Choose Llama 3.2 11B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash Cyber and Llama 3.2 11B Instructdon'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 Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

Google
Gemini 3.5 Flash Cyber
Input- tokens
Output- tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas Gemini 3.5 Flash Cyber does not.

Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.5 Flash Cyber

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash Cyber is licensed under a proprietary license, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

Gemini 3.5 Flash Cyber

Proprietary

Closed source

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash Cyber was released on 2026-07-21, while Llama 3.2 11B Instruct was released on 2024-09-25.

Gemini 3.5 Flash Cyber is 22 months newer than Llama 3.2 11B Instruct.

Gemini 3.5 Flash Cyber

Jul 21, 2026

0 days ago

1.8yr newer
Llama 3.2 11B Instruct

Sep 25, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Gemini 3.5 Flash Cyber's cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Gemini 3.5 Flash Cyber's cutoff date.

Gemini 3.5 Flash Cyber

Llama 3.2 11B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

No standout differentiators in the data we have for this pair.

Larger context window (128,000 tokens)
Supports multimodal inputs
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash Cyber and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash Cyber
✓ Preferred
Llama 3.2 11B Instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash Cyber
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about Gemini 3.5 Flash Cyber vs Llama 3.2 11B Instruct.

Which is better, Gemini 3.5 Flash Cyber or Llama 3.2 11B Instruct?

Gemini 3.5 Flash Cyber (Google) and Llama 3.2 11B Instruct (Meta) 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 3.5 Flash Cyber compare to Llama 3.2 11B Instruct in benchmarks?

Gemini 3.5 Flash Cyber scores CyberGym: 83.2%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

What are the context window sizes for Gemini 3.5 Flash Cyber and Llama 3.2 11B Instruct?

Gemini 3.5 Flash Cyber supports an unknown number of tokens and Llama 3.2 11B Instruct 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 Gemini 3.5 Flash Cyber and Llama 3.2 11B Instruct?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash Cyber and Llama 3.2 11B Instruct?

Gemini 3.5 Flash Cyber is developed by Google and Llama 3.2 11B Instruct is developed by Meta.