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Gemini 3.8 Flash Cyber vs LongCat-Flash-Thinking

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 28.8.

Google · Meituan · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.4 to 28.8, 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 42.4 and ranks #46 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 LongCat-Flash-Thinking

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
LongCat-Flash-Thinking
Meituan
Core performance indexes
LLM Stats Score
42.4
#46
28.8
#124
Coding
35.6
#25
14.3
#127
Agents
31.2
#27
12.9
#91
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
128,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 14 for LongCat-Flash-Thinking

No common benchmarks found

Gemini 3.8 Flash Cyber and LongCat-Flash-Thinkingdon'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 LongCat-Flash-Thinking specifies input context (128,000 tokens). Only LongCat-Flash-Thinking specifies output context (128,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while LongCat-Flash-Thinking uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.8 Flash Cyber

Proprietary

Closed source

LongCat-Flash-Thinking

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while LongCat-Flash-Thinking was released on 2025-09-22.

Gemini 3.8 Flash Cyber is 12 months newer than LongCat-Flash-Thinking.

Gemini 3.8 Flash Cyber

Sep 2, 2026

2 days ago

11mo newer
LongCat-Flash-Thinking

Sep 22, 2025

11 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 LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
LongCat-Flash-Thinking
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs LongCat-Flash-Thinking.

Which is better, Gemini 3.8 Flash Cyber or LongCat-Flash-Thinking?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 28.8. Gemini 3.8 Flash Cyber is made by Google and LongCat-Flash-Thinking is made by Meituan. 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 LongCat-Flash-Thinking 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%. LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.

What are the context window sizes for Gemini 3.8 Flash Cyber and LongCat-Flash-Thinking?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and LongCat-Flash-Thinking supports 128K 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 LongCat-Flash-Thinking?

Key differences include LLM Stats Score (42.4 vs 28.8), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and LongCat-Flash-Thinking?

Gemini 3.8 Flash Cyber is developed by Google and LongCat-Flash-Thinking is developed by Meituan.

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