Model Comparison

Gemini 3 Pro vs LongCat-Flash-Thinking

Gemini 3 Pro significantly outperforms across most benchmarks. LongCat-Flash-Thinking is 8.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3 Pro outperforms in 3 benchmarks (AIME 2025, GPQA, SWE-Bench Verified), while LongCat-Flash-Thinking is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Thinking costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 6.7x more expensive than LongCat-Flash-Thinking ($0.30/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 10.0x more expensive than LongCat-Flash-Thinking ($1.20/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than LongCat-Flash-Thinking.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3 Pro 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 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas LongCat-Flash-Thinking does not.

Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Pro

Text
Images
Audio
Video

LongCat-Flash-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro 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 Pro

Proprietary

Closed source

LongCat-Flash-Thinking

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while LongCat-Flash-Thinking was released on 2025-09-22.

Gemini 3 Pro is 2 months newer than LongCat-Flash-Thinking.

Gemini 3 Pro

Nov 18, 2025

4 months ago

1mo newer
LongCat-Flash-Thinking

Sep 22, 2025

6 months ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while LongCat-Flash-Thinking's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without LongCat-Flash-Thinking's cutoff date.

Gemini 3 Pro

Jan 2025

LongCat-Flash-Thinking

—

Provider Availability

Gemini 3 Pro is available from Google. LongCat-Flash-Thinking is available from Meituan.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

LongCat-Flash-Thinking

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* 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 AIME 2025 score (100.0% vs 90.6%)
Higher GPQA score (91.9% vs 81.5%)
Higher SWE-Bench Verified score (76.2% vs 59.4%)
Meituan
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Meituan
LongCat-Flash-Thinking

FAQ

Common questions about Gemini 3 Pro vs LongCat-Flash-Thinking

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and LongCat-Flash-Thinking is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.
LongCat-Flash-Thinking is 6.7x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan.
Gemini 3 Pro supports 1.0M tokens and LongCat-Flash-Thinking supports 128K 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 128K), input pricing ($2.00 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 3 Pro is developed by Google and LongCat-Flash-Thinking is developed by Meituan.