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Gemini 3.8 Flash Cyber vs Phi-3.5-MoE-instruct

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.5 to 2.0.

Google · Microsoft · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.5 to 2.0, 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
  • your work emphasizes coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Phi-3.5-MoE-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-3.5-MoE-instruct
Microsoft
Core performance indexes
LLM Stats Score
42.5
#45
2.0
#305
Coding
35.6
#24
-3.8
#244
Cost, coverage & limits
Benchmark wins
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—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
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Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 31 for Phi-3.5-MoE-instruct

No common benchmarks found

Gemini 3.8 Flash Cyber and Phi-3.5-MoE-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

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while Phi-3.5-MoE-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-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Gemini 3.8 Flash Cyber is 25 months newer than Phi-3.5-MoE-instruct.

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

2.0yr newer
Phi-3.5-MoE-instruct

Aug 23, 2024

2.0 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 Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Phi-3.5-MoE-instruct.

Which is better, Gemini 3.8 Flash Cyber or Phi-3.5-MoE-instruct?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.5 to 2.0. Gemini 3.8 Flash Cyber is made by Google and Phi-3.5-MoE-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-3.5-MoE-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-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%.

What are the main differences between Gemini 3.8 Flash Cyber and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (42.5 vs 2.0), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Phi-3.5-MoE-instruct?

Gemini 3.8 Flash Cyber is developed by Google and Phi-3.5-MoE-instruct is developed by Microsoft.

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