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Gemini 3.8 Flash Cyber vs Llama 3.2 90B Instruct

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.5 to 5.4.

Google · Meta · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.5 to 5.4, ranking #45 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 42.5 and ranks #45 on LLM Stats
  • you want the most recent training data — it shipped Sep 2026

Choose Llama 3.2 90B Instruct

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

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
Llama 3.2 90B Instruct
Meta
Core performance indexes
LLM Stats Score
42.5
#45
5.4
#287
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
—
128,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 13 for Llama 3.2 90B Instruct

No common benchmarks found

Gemini 3.8 Flash Cyber and Llama 3.2 90B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 3.2 90B Instruct supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Llama 3.2 90B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash Cyber

Text
Images
Audio
Video

Llama 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while Llama 3.2 90B Instruct uses Llama 3.2.

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

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Llama 3.2 90B Instruct was released on 2024-09-25.

Gemini 3.8 Flash Cyber is 24 months newer than Llama 3.2 90B Instruct.

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

1.9yr newer
Llama 3.2 90B Instruct

Sep 25, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash Cyber and Llama 3.2 90B Instruct side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Llama 3.2 90B Instruct
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Llama 3.2 90B Instruct.

Which is better, Gemini 3.8 Flash Cyber or Llama 3.2 90B Instruct?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.5 to 5.4. Gemini 3.8 Flash Cyber is made by Google and Llama 3.2 90B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.8 Flash Cyber compare to Llama 3.2 90B Instruct in benchmarks?

Gemini 3.8 Flash Cyber scores Gray Swan IPI Benchmark: 94.0%, CyberGym: 86.2%, Google Real-world Vulnerability Discovery: 71.0%, CWE-Bench: 47.2%. Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.

What are the context window sizes for Gemini 3.8 Flash Cyber and Llama 3.2 90B Instruct?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Llama 3.2 90B 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 3.8 Flash Cyber and Llama 3.2 90B Instruct?

Key differences include LLM Stats Score (42.5 vs 5.4), multimodal support (no vs yes), licensing (Proprietary vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Llama 3.2 90B Instruct?

Gemini 3.8 Flash Cyber is developed by Google and Llama 3.2 90B Instruct is developed by Meta.

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