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Gemini 3.8 Flash Cyber vs GPT-5.6 Luna

Gemini 3.8 Flash Cyber and GPT-5.6 Luna are closely matched at 41.1 and 45.1 on the LLM Stats Score.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and GPT-5.6 Luna are closely matched on the overall LLM Stats Score at 41.1 and 45.1.

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

Choose Gemini 3.8 Flash Cyber

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

Choose GPT-5.6 Luna

  • you want predictable pricing at $0.20/M input and $1.20/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
GPT-5.6 Luna
OpenAI
Core performance indexes
LLM Stats Score
41.1
#52
45.1
#32
Coding
35.0
#30
36.3
#21
Agents
31.1
#31
31.7
#28
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.20 / M
Output price
— / M
$1.20 / M
Context window
—
1,050,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 45 for GPT-5.6 Luna

No common benchmarks found

Gemini 3.8 Flash Cyber and GPT-5.6 Lunadon'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-5.6 Luna specifies input context (1,050,000 tokens). Only GPT-5.6 Luna specifies output context (128,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.6 Luna supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

GPT-5.6 Luna 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-5.6 Luna

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-5.6 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while GPT-5.6 Luna was released on 2026-07-09.

Gemini 3.8 Flash Cyber is 2 months newer than GPT-5.6 Luna.

Gemini 3.8 Flash Cyber

Sep 2, 2026

1 weeks ago

1mo newer
GPT-5.6 Luna

Jul 9, 2026

2 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Gemini 3.8 Flash Cyber's cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Gemini 3.8 Flash Cyber's cutoff date.

Gemini 3.8 Flash Cyber

—

GPT-5.6 Luna

Feb 2026

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-5.6 Luna side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
GPT-5.6 Luna
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs GPT-5.6 Luna.

Which is better, Gemini 3.8 Flash Cyber or GPT-5.6 Luna?

Gemini 3.8 Flash Cyber and GPT-5.6 Luna are closely matched on the LLM Stats Score at 41.1 and 45.1. Gemini 3.8 Flash Cyber is made by Google and GPT-5.6 Luna 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-5.6 Luna 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-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%.

What are the context window sizes for Gemini 3.8 Flash Cyber and GPT-5.6 Luna?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and GPT-5.6 Luna supports 1.1M 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-5.6 Luna?

Key differences include LLM Stats Score (41.1 vs 45.1), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and GPT-5.6 Luna?

Gemini 3.8 Flash Cyber is developed by Google and GPT-5.6 Luna is developed by OpenAI.

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