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Gemini 3.8 Flash Cyber vs GPT-5.3 Codex

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.3 to 36.6.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.3 to 36.6, ranking #46 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 42.3 and ranks #46 on LLM Stats
  • your work emphasizes agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose GPT-5.3 Codex

  • you want predictable pricing at $1.75/M input and $14.00/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
GPT-5.3 Codex
OpenAI
Core performance indexes
LLM Stats Score
42.3
#46
36.6
#74
Coding
35.7
#25
30.1
#51
Agents
31.5
#28
22.9
#55
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.75 / M
Output price
— / M
$14.00 / M
Context window
—
400,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 6 for GPT-5.3 Codex

No common benchmarks found

Gemini 3.8 Flash Cyber and GPT-5.3 Codexdon'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-5.3 Codex specifies input context (400,000 tokens). Only GPT-5.3 Codex specifies output context (128,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
OpenAI
GPT-5.3 Codex
Input400,000 tokens
Output128,000 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.3 Codex supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

GPT-5.3 Codex 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-5.3 Codex

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-5.3 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while GPT-5.3 Codex was released on 2026-02-05.

Gemini 3.8 Flash Cyber is 7 months newer than GPT-5.3 Codex.

Gemini 3.8 Flash Cyber

Sep 2, 2026

6 days ago

6mo newer
GPT-5.3 Codex

Feb 5, 2026

7 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-5.3 Codex side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
GPT-5.3 Codex
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs GPT-5.3 Codex.

Which is better, Gemini 3.8 Flash Cyber or GPT-5.3 Codex?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.3 to 36.6. Gemini 3.8 Flash Cyber is made by Google and GPT-5.3 Codex 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-5.3 Codex 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-5.3 Codex scores SWE-Lancer (IC-Diamond subset): 81.4%, Cybersecurity CTFs: 77.6%, Terminal-Bench 2.0: 77.3%, LiveBench: 72.8%, OSWorld-Verified: 64.7%.

What are the context window sizes for Gemini 3.8 Flash Cyber and GPT-5.3 Codex?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and GPT-5.3 Codex 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-5.3 Codex?

Key differences include LLM Stats Score (42.3 vs 36.6), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and GPT-5.3 Codex?

Gemini 3.8 Flash Cyber is developed by Google and GPT-5.3 Codex is developed by OpenAI.

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