Model Comparison

Gemini 2.5 Flash vs LongCat-Flash-Chat

Gemini 2.5 Flash shows notably better performance in the majority of benchmarks. LongCat-Flash-Chat is 1.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.5 Flash outperforms in 2 benchmarks (AIME 2025, GPQA), while LongCat-Flash-Chat is better at 0 benchmarks.

Gemini 2.5 Flash shows notably better performance in the majority of benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Chat costs less

For input processing, Gemini 2.5 Flash ($0.30/1M tokens) costs the same as LongCat-Flash-Chat ($0.30/1M tokens).

For output processing, Gemini 2.5 Flash ($2.50/1M tokens) is 2.1x more expensive than LongCat-Flash-Chat ($1.20/1M tokens).

In conclusion, Gemini 2.5 Flash is more expensive than LongCat-Flash-Chat.*

* 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 2.5 Flash
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
Meituan
LongCat-Flash-Chat
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 2.5 Flash accepts 1,048,576 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. LongCat-Flash-Chat can generate longer responses up to 128,000 tokens, while Gemini 2.5 Flash is limited to 65,536 tokens.

Google
Gemini 2.5 Flash
Input1,048,576 tokens
Output65,536 tokens
Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash supports multimodal inputs, whereas LongCat-Flash-Chat does not.

Gemini 2.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Flash

Text
Images
Audio
Video

LongCat-Flash-Chat

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash is licensed under a proprietary license, while LongCat-Flash-Chat uses MIT.

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

Gemini 2.5 Flash

Proprietary

Closed source

LongCat-Flash-Chat

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash was released on 2025-05-20, while LongCat-Flash-Chat was released on 2025-08-29.

LongCat-Flash-Chat is 3 months newer than Gemini 2.5 Flash.

Gemini 2.5 Flash

May 20, 2025

11 months ago

LongCat-Flash-Chat

Aug 29, 2025

7 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash has a documented knowledge cutoff of 2025-01-31, while LongCat-Flash-Chat's cutoff date is not specified.

We can confirm Gemini 2.5 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without LongCat-Flash-Chat's cutoff date.

Gemini 2.5 Flash

Jan 2025

LongCat-Flash-Chat

—

Provider Availability

Gemini 2.5 Flash is available from Google. LongCat-Flash-Chat is available from Meituan.

Gemini 2.5 Flash

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M

LongCat-Flash-Chat

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 (72.0% vs 61.3%)
Higher GPQA score (82.8% vs 73.2%)
Meituan
Less expensive output tokens
Has open weights
GoogleGemini 2.5 Flash
MeituanLongCat-Flash-Chat
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash
Meituan
LongCat-Flash-Chat

FAQ

Common questions about Gemini 2.5 Flash vs LongCat-Flash-Chat

Gemini 2.5 Flash shows notably better performance in the majority of benchmarks. Gemini 2.5 Flash is made by Google and LongCat-Flash-Chat is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.5 Flash scores Global-MMLU-Lite: 88.4%, AIME 2024: 88.0%, FACTS Grounding: 85.3%, GPQA: 82.8%, MMMU: 79.7%. LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%.
Both models cost $0.30 per million input tokens.
Gemini 2.5 Flash supports 1.0M tokens and LongCat-Flash-Chat 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), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Flash is developed by Google and LongCat-Flash-Chat is developed by Meituan.