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Gemini 3.8 Flash Cyber vs GPT-5.1 Codex High

Gemini 3.8 Flash Cyber and GPT-5.1 Codex High are closely matched at 41.1 and 29.4 on the LLM Stats Score.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and GPT-5.1 Codex High are closely matched on the overall LLM Stats Score at 41.1 and 29.4.

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-5.1 Codex High

  • you want predictable pricing at $1.25/M input and $10.00/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
GPT-5.1 Codex High
OpenAI
Core performance indexes
LLM Stats Score
41.1
#52
29.4
#128
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.25 / M
Output price
— / M
$10.00 / M
Context window
—
400,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 1 for GPT-5.1 Codex High

No common benchmarks found

Gemini 3.8 Flash Cyber and GPT-5.1 Codex Highdon'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-5.1 Codex High specifies input context (400,000 tokens). Only GPT-5.1 Codex High specifies output context (128,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
OpenAI
GPT-5.1 Codex High
Input400,000 tokens
Output128,000 tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.1 Codex High supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

GPT-5.1 Codex High 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-5.1 Codex High

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-5.1 Codex High

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while GPT-5.1 Codex High was released on 2025-11-12.

Gemini 3.8 Flash Cyber is 10 months newer than GPT-5.1 Codex High.

Gemini 3.8 Flash Cyber

Sep 2, 2026

1 weeks ago

9mo newer
GPT-5.1 Codex High

Nov 12, 2025

10 months 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 GPT-5.1 Codex High side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
GPT-5.1 Codex High
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs GPT-5.1 Codex High.

Which is better, Gemini 3.8 Flash Cyber or GPT-5.1 Codex High?

Gemini 3.8 Flash Cyber and GPT-5.1 Codex High are closely matched on the LLM Stats Score at 41.1 and 29.4. Gemini 3.8 Flash Cyber is made by Google and GPT-5.1 Codex High 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-5.1 Codex High 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-5.1 Codex High scores AIME 2025: 96.7%.

What are the context window sizes for Gemini 3.8 Flash Cyber and GPT-5.1 Codex High?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and GPT-5.1 Codex High 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-5.1 Codex High?

Key differences include LLM Stats Score (41.1 vs 29.4), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and GPT-5.1 Codex High?

Gemini 3.8 Flash Cyber is developed by Google and GPT-5.1 Codex High is developed by OpenAI.

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