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Gemini 3 Pro vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 38.1. LongCat-2.5 is 8.6x cheaper per token.

Google · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 38.1, 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 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose Gemini 3 Pro

  • you want predictable pricing at $2.00/M input and $12.00/M output

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 8.6x cheaper per token
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Gemini 3 Pro
Google
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
38.1
#88
50.0
#20
Reasoning
38.1
#85
48.3
#21
Coding
24.5
#95
38.6
#27
Agents
14.9
#117
36.3
#23
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$2.00 / M
$0.30 / M
Output price
$12.00 / M
$1.20 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Gemini 3 Pro
LongCat-2.5
Math
37.3#35
37.2#37
Vision
26.7#55
32.5#29
Tool use
13.9#122
30.2#15
Multimodal
27.8#50
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

21 reported for Gemini 3 Pro · 23 for LongCat-2.5

1 shared

Gemini 3 Pro outperforms in 0 benchmarks, while LongCat-2.5 is better at 1 benchmark (CharXiv-R).

LongCat-2.5 significantly outperforms across most benchmarks.

Wed Nov 04 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 3 Pro ($2.00/1M tokens) is 6.7x more expensive than LongCat-2.5 ($0.30/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 10.0x more expensive than LongCat-2.5 ($1.20/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than LongCat-2.5.*

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

Lowest available price from all providers
Wed Nov 04 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
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

Both models have the same input context window of 1,048,576 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3 Pro and LongCat-2.5 support multimodal inputs.

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

Gemini 3 Pro

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 12 months newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

11 months ago

LongCat-2.5

Nov 1, 2026

3 days ago

11mo newer

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while LongCat-2.5'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-2.5's cutoff date.

Gemini 3 Pro

Jan 2025

LongCat-2.5

—

Provider Availability

Gemini 3 Pro is available from Google. LongCat-2.5 is available from Meituan.

Gemini 3 Pro

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

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 3 Pro and LongCat-2.5 side-by-side, then vote on the output you prefer.

Gemini 3 Pro
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about Gemini 3 Pro vs LongCat-2.5.

Which is better, Gemini 3 Pro or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 38.1. Gemini 3 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 3 Pro compare to LongCat-2.5 in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. 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 3 Pro cheaper than LongCat-2.5?

LongCat-2.5 is 6.7x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/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 3 Pro and LongCat-2.5?

Gemini 3 Pro supports 1.0M 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 3 Pro and LongCat-2.5?

Key differences include LLM Stats Score (38.1 vs 50.0), input pricing ($2.00 vs $0.30/M), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and LongCat-2.5?

Gemini 3 Pro is developed by Google and LongCat-2.5 is developed by Meituan.

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