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LongCat-2.5 vs MAI-Thinking-1

LongCat-2.5 leads the LLM Stats Score 50.0 to 32.4.

Meituan · Microsoft · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 32.4, ranking #20 overall.

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

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 want the most recent training data — it shipped Nov 2026

Choose MAI-Thinking-1

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

LongCat-2.5
Meituan
MAI-Thinking-1
Microsoft
Core performance indexes
LLM Stats Score
50.0
#20
32.4
#132
Reasoning
48.3
#21
33.3
#121
Coding
38.6
#27
19.4
#128
Agents
36.3
#23
12.7
#129
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LongCat-2.5
MAI-Thinking-1
Math
37.2#37
33.6#57
Tool use
30.2#15
10.6#147
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 23 for MAI-Thinking-1

No common benchmarks found

LongCat-2.5 and MAI-Thinking-1don'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

Model Size

Parameter count comparison

600.0B diff

LongCat-2.5 has 600.0B more parameters than MAI-Thinking-1, making it 60.0% larger.

Meituan
LongCat-2.5
1.6Tparameters
Microsoft
MAI-Thinking-1
1.0Tparameters
1600.0B
LongCat-2.5
1000.0B
MAI-Thinking-1

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).

Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas MAI-Thinking-1 does not.

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

LongCat-2.5

Text
Images
Audio
Video

MAI-Thinking-1

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while MAI-Thinking-1 was released on 2026-06-02.

LongCat-2.5 is 5 months newer than MAI-Thinking-1.

LongCat-2.5

Nov 1, 2026

4 days ago

5mo newer
MAI-Thinking-1

Jun 2, 2026

5 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-2.5 and MAI-Thinking-1 side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
MAI-Thinking-1
Open in Playground

FAQ

Common questions about LongCat-2.5 vs MAI-Thinking-1.

Which is better, LongCat-2.5 or MAI-Thinking-1?

LongCat-2.5 leads the LLM Stats Score 50.0 to 32.4. LongCat-2.5 is made by Meituan and MAI-Thinking-1 is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LongCat-2.5 compare to MAI-Thinking-1 in benchmarks?

LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%. MAI-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%.

What are the context window sizes for LongCat-2.5 and MAI-Thinking-1?

LongCat-2.5 supports 1.0M tokens and MAI-Thinking-1 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LongCat-2.5 and MAI-Thinking-1?

Key differences include LLM Stats Score (50.0 vs 32.4), multimodal support (yes vs no), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and MAI-Thinking-1?

LongCat-2.5 is developed by Meituan and MAI-Thinking-1 is developed by Microsoft.

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