Model Comparison

Gemini 3.1 Pro vs LongCat-Flash-Lite

Gemini 3.1 Pro significantly outperforms across most benchmarks. LongCat-Flash-Lite is 32.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 3.1 Pro outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while LongCat-Flash-Lite is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Lite costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 25.0x more expensive than LongCat-Flash-Lite ($0.10/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 37.5x more expensive than LongCat-Flash-Lite ($0.40/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than LongCat-Flash-Lite.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Meituan
LongCat-Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to LongCat-Flash-Lite's 256,000 tokens. LongCat-Flash-Lite can generate longer responses up to 128,000 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas LongCat-Flash-Lite does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

LongCat-Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while LongCat-Flash-Lite uses MIT.

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

Gemini 3.1 Pro

Proprietary

Closed source

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while LongCat-Flash-Lite was released on 2026-02-05.

Gemini 3.1 Pro is 0 month newer than LongCat-Flash-Lite.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

2w newer
LongCat-Flash-Lite

Feb 5, 2026

2 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while LongCat-Flash-Lite's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without LongCat-Flash-Lite's cutoff date.

Gemini 3.1 Pro

Jan 2025

LongCat-Flash-Lite

—

Provider Availability

Gemini 3.1 Pro is available from Google. LongCat-Flash-Lite is available from Meituan.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

LongCat-Flash-Lite

meituan logo
Meituan
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (94.3% vs 66.8%)
Higher SWE-Bench Verified score (80.6% vs 54.4%)
Meituan
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Meituan
LongCat-Flash-Lite

FAQ

Common questions about Gemini 3.1 Pro vs LongCat-Flash-Lite

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and LongCat-Flash-Lite is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.
LongCat-Flash-Lite is 25.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.
Gemini 3.1 Pro supports 1.0M tokens and LongCat-Flash-Lite supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 256K), input pricing ($2.50 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and LongCat-Flash-Lite is developed by Meituan.