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Gemini 3.8 Flash Cyber vs Phi-4-multimodal-instruct

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.5 to 3.1.

Google · Microsoft · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.5 to 3.1, 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 Phi-4-multimodal-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
Phi-4-multimodal-instruct
Microsoft
Core performance indexes
LLM Stats Score
42.5
#45
3.1
#299
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.05 / M
Output price
— / M
$0.10 / M
Context window
—
128,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 15 for Phi-4-multimodal-instruct

No common benchmarks found

Gemini 3.8 Flash Cyber and Phi-4-multimodal-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 Phi-4-multimodal-instruct specifies input context (128,000 tokens). Only Phi-4-multimodal-instruct specifies output context (128,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Phi-4-multimodal-instruct supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Phi-4-multimodal-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

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while Phi-4-multimodal-instruct uses MIT.

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

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Phi-4-multimodal-instruct was released on 2025-02-01.

Gemini 3.8 Flash Cyber is 19 months newer than Phi-4-multimodal-instruct.

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

1.6yr newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Gemini 3.8 Flash Cyber's cutoff date is not specified.

We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Gemini 3.8 Flash Cyber's cutoff date.

Gemini 3.8 Flash Cyber

—

Phi-4-multimodal-instruct

Jun 2024

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 Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Phi-4-multimodal-instruct.

Which is better, Gemini 3.8 Flash Cyber or Phi-4-multimodal-instruct?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.5 to 3.1. Gemini 3.8 Flash Cyber is made by Google and Phi-4-multimodal-instruct is made by Microsoft. 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 Phi-4-multimodal-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%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

What are the context window sizes for Gemini 3.8 Flash Cyber and Phi-4-multimodal-instruct?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Phi-4-multimodal-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 Phi-4-multimodal-instruct?

Key differences include LLM Stats Score (42.5 vs 3.1), multimodal support (no vs yes), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Phi-4-multimodal-instruct?

Gemini 3.8 Flash Cyber is developed by Google and Phi-4-multimodal-instruct is developed by Microsoft.

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