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LongCat-2.5 vs QvQ-72B-Preview

LongCat-2.5 leads the LLM Stats Score 50.0 to 7.5.

Meituan · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 7.5, 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.

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 — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Nov 2026

Choose QvQ-72B-Preview

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

LongCat-2.5
Meituan
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
50.0
#20
7.5
#322
Reasoning
48.3
#21
7.8
#315
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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

3 shared
Index
LongCat-2.5
QvQ-72B-Preview
Math
37.2#37
9.4#275
Vision
32.5#29
6.2#176
Multimodal
34.8#15
9.3#142
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 4 for QvQ-72B-Preview

1 shared

LongCat-2.5 outperforms in 1 benchmarks (MathVision), while QvQ-72B-Preview is better at 0 benchmarks.

LongCat-2.5 significantly outperforms across most benchmarks.

Tue Nov 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1526.6B diff

LongCat-2.5 has 1526.6B more parameters than QvQ-72B-Preview, making it 2079.8% larger.

Meituan
LongCat-2.5
1.6Tparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
1600.0B
LongCat-2.5
73.4B
QvQ-72B-Preview

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
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LongCat-2.5 and QvQ-72B-Preview support multimodal inputs.

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

LongCat-2.5

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while QvQ-72B-Preview was released on 2024-12-25.

LongCat-2.5 is 23 months newer than QvQ-72B-Preview.

LongCat-2.5

Nov 1, 2026

0 days ago

1.9yr newer
QvQ-72B-Preview

Dec 25, 2024

1.9 years 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 QvQ-72B-Preview side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about LongCat-2.5 vs QvQ-72B-Preview.

Which is better, LongCat-2.5 or QvQ-72B-Preview?

LongCat-2.5 leads the LLM Stats Score 50.0 to 7.5. LongCat-2.5 is made by Meituan and QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team. 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 QvQ-72B-Preview 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%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for LongCat-2.5 and QvQ-72B-Preview?

LongCat-2.5 supports 1.0M tokens and QvQ-72B-Preview 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 QvQ-72B-Preview?

Key differences include LLM Stats Score (50.0 vs 7.5), licensing (Unknown vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and QvQ-72B-Preview?

LongCat-2.5 is developed by Meituan and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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