Model Comparison

Gemini 3.5 Flash Cyber vs K-EXAONE-236B-A23BWhich is better in 2026?

Comparing Gemini 3.5 Flash Cyber and K-EXAONE-236B-A23B across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash Cyber vs K-EXAONE-236B-A23B — which is better?

Gemini 3.5 Flash Cyber (by Google) and K-EXAONE-236B-A23B (by LG AI Research) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Gemini 3.5 Flash Cyber if…

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

Choose K-EXAONE-236B-A23B if…

  • you want predictable pricing at $0.60/M input and $1.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash Cyber and K-EXAONE-236B-A23Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only K-EXAONE-236B-A23B specifies input context (32,768 tokens). Only K-EXAONE-236B-A23B specifies output context (32,768 tokens).

Google
Gemini 3.5 Flash Cyber
Input- tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Wed Jul 22 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.5 Flash Cyber

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.5 Flash Cyber was released on 2026-07-21, while K-EXAONE-236B-A23B was released on 2025-12-31.

Gemini 3.5 Flash Cyber is 7 months newer than K-EXAONE-236B-A23B.

Gemini 3.5 Flash Cyber

Jul 21, 2026

1 days ago

6mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

6 months ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Gemini 3.5 Flash Cyber's cutoff date is not specified.

We can confirm K-EXAONE-236B-A23B's training data extends to 2025-10-01, but cannot make a direct comparison without Gemini 3.5 Flash Cyber's cutoff date.

Gemini 3.5 Flash Cyber

—

K-EXAONE-236B-A23B

Oct 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

LG AI Research
Larger context window (32,768 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash Cyber and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash Cyber
✓ Preferred
K-EXAONE-236B-A23B
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash Cyber
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about Gemini 3.5 Flash Cyber vs K-EXAONE-236B-A23B.

Which is better, Gemini 3.5 Flash Cyber or K-EXAONE-236B-A23B?

Gemini 3.5 Flash Cyber (Google) and K-EXAONE-236B-A23B (LG AI Research) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.5 Flash Cyber compare to K-EXAONE-236B-A23B in benchmarks?

Gemini 3.5 Flash Cyber scores CyberGym: 83.2%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.

What are the context window sizes for Gemini 3.5 Flash Cyber and K-EXAONE-236B-A23B?

Gemini 3.5 Flash Cyber supports an unknown number of tokens and K-EXAONE-236B-A23B supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Gemini 3.5 Flash Cyber and K-EXAONE-236B-A23B?

Gemini 3.5 Flash Cyber is developed by Google and K-EXAONE-236B-A23B is developed by LG AI Research.

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