Model Comparison

Gemini 3.5 Flash Cyber vs LongCat-Flash-Thinking-2601Which is better in 2026?

Comparing Gemini 3.5 Flash Cyber and LongCat-Flash-Thinking-2601 across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash Cyber vs LongCat-Flash-Thinking-2601 — which is better?

Gemini 3.5 Flash Cyber (by Google) and LongCat-Flash-Thinking-2601 (by Meituan) 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 LongCat-Flash-Thinking-2601 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash Cyber and LongCat-Flash-Thinking-2601don'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 LongCat-Flash-Thinking-2601 specifies input context (128,000 tokens). Only LongCat-Flash-Thinking-2601 specifies output context (128,000 tokens).

Google
Gemini 3.5 Flash Cyber
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Mon Jul 27 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 3.5 Flash Cyber is licensed under a proprietary license, while LongCat-Flash-Thinking-2601 uses MIT.

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

Gemini 3.5 Flash Cyber

Proprietary

Closed source

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash Cyber was released on 2026-07-21, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

Gemini 3.5 Flash Cyber is 6 months newer than LongCat-Flash-Thinking-2601.

Gemini 3.5 Flash Cyber

Jul 21, 2026

6 days ago

6mo newer
LongCat-Flash-Thinking-2601

Jan 14, 2026

6 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

Key Takeaways

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

Larger context window (128,000 tokens)
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash Cyber and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash Cyber
✓ Preferred
LongCat-Flash-Thinking-2601
Open in Playground

FAQ

Common questions about Gemini 3.5 Flash Cyber vs LongCat-Flash-Thinking-2601.

Which is better, Gemini 3.5 Flash Cyber or LongCat-Flash-Thinking-2601?

Gemini 3.5 Flash Cyber (Google) and LongCat-Flash-Thinking-2601 (Meituan) 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 LongCat-Flash-Thinking-2601 in benchmarks?

Gemini 3.5 Flash Cyber scores CyberGym: 83.2%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.

What are the context window sizes for Gemini 3.5 Flash Cyber and LongCat-Flash-Thinking-2601?

Gemini 3.5 Flash Cyber supports an unknown number of tokens and LongCat-Flash-Thinking-2601 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 3.5 Flash Cyber and LongCat-Flash-Thinking-2601?

Key differences include licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash Cyber and LongCat-Flash-Thinking-2601?

Gemini 3.5 Flash Cyber is developed by Google and LongCat-Flash-Thinking-2601 is developed by Meituan.