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Gemini 3.8 Flash Cyber vs GPT-5.4 nano

Gemini 3.8 Flash Cyber leads the LLM Stats Score 40.3 to 26.6.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 40.3 to 26.6, ranking #55 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 40.3 and ranks #55 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose GPT-5.4 nano

  • you want predictable pricing at $0.20/M input and $1.25/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
GPT-5.4 nano
OpenAI
Core performance indexes
LLM Stats Score
40.3
#55
26.6
#150
Coding
33.1
#36
15.8
#128
Agents
29.8
#35
11.0
#112
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.20 / M
Output price
— / M
$1.25 / M
Context window
—
400,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 15 for GPT-5.4 nano

No common benchmarks found

Gemini 3.8 Flash Cyber and GPT-5.4 nanodon'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 GPT-5.4 nano specifies input context (400,000 tokens). Only GPT-5.4 nano specifies output context (128,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
OpenAI
GPT-5.4 nano
Input400,000 tokens
Output128,000 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.4 nano supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

GPT-5.4 nano 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

GPT-5.4 nano

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.8 Flash Cyber

Proprietary

Closed source

GPT-5.4 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while GPT-5.4 nano was released on 2026-03-17.

Gemini 3.8 Flash Cyber is 6 months newer than GPT-5.4 nano.

Gemini 3.8 Flash Cyber

Sep 2, 2026

2 weeks ago

5mo newer
GPT-5.4 nano

Mar 17, 2026

6 months ago

Knowledge Cutoff

When training data ends

GPT-5.4 nano has a documented knowledge cutoff of 2025-08-31, while Gemini 3.8 Flash Cyber's cutoff date is not specified.

We can confirm GPT-5.4 nano's training data extends to 2025-08-31, but cannot make a direct comparison without Gemini 3.8 Flash Cyber's cutoff date.

Gemini 3.8 Flash Cyber

—

GPT-5.4 nano

Aug 2025

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 GPT-5.4 nano side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
GPT-5.4 nano
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs GPT-5.4 nano.

Which is better, Gemini 3.8 Flash Cyber or GPT-5.4 nano?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 40.3 to 26.6. Gemini 3.8 Flash Cyber is made by Google and GPT-5.4 nano is made by OpenAI. 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 GPT-5.4 nano 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%. GPT-5.4 nano scores Tau2 Telecom: 92.5%, GPQA: 82.8%, OmniDocBench 1.5: 75.8%, Graphwalks BFS <128k: 73.4%, LiveBench: 70.1%.

What are the context window sizes for Gemini 3.8 Flash Cyber and GPT-5.4 nano?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and GPT-5.4 nano supports 400K 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 GPT-5.4 nano?

Key differences include LLM Stats Score (40.3 vs 26.6), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and GPT-5.4 nano?

Gemini 3.8 Flash Cyber is developed by Google and GPT-5.4 nano is developed by OpenAI.

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