Model Comparison
Gemini 3.5 Flash-Lite vs LongCat-Flash-ThinkingWhich is better in 2026?
Comparing Gemini 3.5 Flash-Lite and LongCat-Flash-Thinking across benchmarks, pricing, and capabilities.
Verdict: Gemini 3.5 Flash-Lite vs LongCat-Flash-Thinking — which is better?
Gemini 3.5 Flash-Lite (by Google) and LongCat-Flash-Thinking (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.
On price, LongCat-Flash-Thinking is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.5 Flash-Lite if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose LongCat-Flash-Thinking if…
- cost matters — it's about 1.6x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.5 Flash-Lite and LongCat-Flash-Thinkingdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) costs the same as LongCat-Flash-Thinking ($0.30/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 2.1x more expensive than LongCat-Flash-Thinking ($1.20/1M tokens).
In conclusion, Gemini 3.5 Flash-Lite is more expensive than LongCat-Flash-Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. LongCat-Flash-Thinking can generate longer responses up to 128,000 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.5 Flash-Lite supports multimodal inputs, whereas LongCat-Flash-Thinking does not.
Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.5 Flash-Lite
LongCat-Flash-Thinking
License
Usage and distribution terms
Gemini 3.5 Flash-Lite 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.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3.5 Flash-Lite was released on 2026-07-21, while LongCat-Flash-Thinking was released on 2025-09-22.
Gemini 3.5 Flash-Lite is 10 months newer than LongCat-Flash-Thinking.
Jul 21, 2026
0 days ago
10mo newerSep 22, 2025
10 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while LongCat-Flash-Thinking's cutoff date is not specified.
We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without LongCat-Flash-Thinking's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.5 Flash-Lite is available from Google. LongCat-Flash-Thinking is available from Meituan.
Gemini 3.5 Flash-Lite
LongCat-Flash-Thinking
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.5 Flash-Lite vs LongCat-Flash-Thinking.