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Gemini 2.0 Flash Thinking vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 16.2.

Google · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 16.2, ranking #20 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • you are already invested in the Google ecosystem

Choose LongCat-2.5

  • overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
16.2
#258
50.0
#20
Reasoning
16.5
#251
48.3
#21
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
1,048,576

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 23 for LongCat-2.5

No common benchmarks found

Gemini 2.0 Flash Thinking and LongCat-2.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only LongCat-2.5 specifies input context (1,048,576 tokens). Only LongCat-2.5 specifies output context (131,072 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and LongCat-2.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 22 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.8 years ago

LongCat-2.5

Nov 1, 2026

-1 days ago

1.8yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while LongCat-2.5's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without LongCat-2.5's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

LongCat-2.5

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and LongCat-2.5 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs LongCat-2.5.

Which is better, Gemini 2.0 Flash Thinking or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 16.2. Gemini 2.0 Flash Thinking is made by Google and LongCat-2.5 is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash Thinking compare to LongCat-2.5 in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

What are the context window sizes for Gemini 2.0 Flash Thinking and LongCat-2.5?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and LongCat-2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash Thinking and LongCat-2.5?

Key differences include LLM Stats Score (16.2 vs 50.0), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and LongCat-2.5?

Gemini 2.0 Flash Thinking is developed by Google and LongCat-2.5 is developed by Meituan.

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