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Gemini 1.5 Pro vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 11.5. LongCat-2.5 is 8.3x cheaper per token.

Google · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 11.5, ranking #20 overall.

In the 1 individual benchmarks reported for both models, LongCat-2.5 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, LongCat-2.5 is roughly 8.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Gemini 1.5 Pro

  • you process long inputs — it offers a 2,097,152 token context window

Choose LongCat-2.5

  • overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 8.3x cheaper per token
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
11.5
#294
50.0
#20
Reasoning
11.2
#290
48.3
#21
Coding
4.2
#243
38.6
#27
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$2.50 / M
$0.30 / M
Output price
$10.00 / M
$1.20 / M
Context window
2,097,152
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 1.5 Pro
LongCat-2.5
Math
16.7#218
37.2#37
Vision
9.1#154
32.5#29
Multimodal
13.1#121
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for Gemini 1.5 Pro · 23 for LongCat-2.5

1 shared

Gemini 1.5 Pro outperforms in 0 benchmarks, while LongCat-2.5 is better at 1 benchmark (Video-MME).

LongCat-2.5 significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

LongCat-2.5 costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 8.3x more expensive than LongCat-2.5 ($0.30/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 8.3x more expensive than LongCat-2.5 ($1.20/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than LongCat-2.5.*

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

Lowest available price from all providers
Mon Nov 02 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to LongCat-2.5's 1,048,576 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 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 1.5 Pro and LongCat-2.5 support multimodal inputs.

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

Gemini 1.5 Pro

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 30 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.5 years ago

LongCat-2.5

Nov 1, 2026

-1 days ago

2.5yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while LongCat-2.5's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without LongCat-2.5's cutoff date.

Gemini 1.5 Pro

Nov 2023

LongCat-2.5

—

Provider Availability

Gemini 1.5 Pro is available from Google. LongCat-2.5 is available from Meituan.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

LongCat-2.5

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and LongCat-2.5 side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs LongCat-2.5.

Which is better, Gemini 1.5 Pro or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 11.5. Gemini 1.5 Pro 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 1.5 Pro compare to LongCat-2.5 in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

Is Gemini 1.5 Pro cheaper than LongCat-2.5?

LongCat-2.5 is 8.3x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for Gemini 1.5 Pro and LongCat-2.5?

Gemini 1.5 Pro supports 2.1M 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 1.5 Pro and LongCat-2.5?

Key differences include LLM Stats Score (11.5 vs 50.0), context window (2.1M vs 1.0M), input pricing ($2.50 vs $0.30/M), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and LongCat-2.5?

Gemini 1.5 Pro is developed by Google and LongCat-2.5 is developed by Meituan.

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