Gemini 3.7 Flash vs LongCat-Flash-Thinking
Comparing Gemini 3.7 Flash and LongCat-Flash-Thinking across benchmarks, pricing, and capabilities.
Google · Meituan · Updated for 2026
Which is better?
Gemini 3.7 Flash and LongCat-Flash-Thinking trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, LongCat-Flash-Thinking is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.7 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemini 3.7 Flash
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose LongCat-Flash-Thinking
- cost matters — it's about 2.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.7 Flash and LongCat-Flash-Thinkingdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 2.5x more expensive than LongCat-Flash-Thinking ($0.30/1M tokens).
For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 3.1x more expensive than LongCat-Flash-Thinking ($1.20/1M tokens).
In conclusion, Gemini 3.7 Flash 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 3.7 Flash 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 3.7 Flash is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.7 Flash supports multimodal inputs, whereas LongCat-Flash-Thinking does not.
Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.7 Flash
LongCat-Flash-Thinking
License
Usage and distribution terms
Gemini 3.7 Flash 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 3.7 Flash was released on 2026-08-13, while LongCat-Flash-Thinking was released on 2025-09-22.
Gemini 3.7 Flash is 11 months newer than LongCat-Flash-Thinking.
Aug 13, 2026
1 weeks ago
10mo newerSep 22, 2025
11 months ago
Knowledge Cutoff
When training data ends
Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while LongCat-Flash-Thinking's cutoff date is not specified.
We can confirm Gemini 3.7 Flash'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 3.7 Flash is available from Google. LongCat-Flash-Thinking is available from Meituan.
Gemini 3.7 Flash
LongCat-Flash-Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.7 Flash and LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.7 Flash vs LongCat-Flash-Thinking.