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LongCat-2.5 vs Qwen2-VL-72B-Instruct

LongCat-2.5 leads the LLM Stats Score 50.0 to 13.7.

Meituan · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 13.7, 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 — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

Choose Qwen2-VL-72B-Instruct

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

At a glance

The differences that matter most.

LongCat-2.5
Meituan
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
50.0
#20
13.7
#277
Reasoning
48.3
#21
11.3
#289
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
Qwen2-VL-72B-Instruct
Vision
32.5#29
10.3#148
Multimodal
34.8#15
11.0#134
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

LongCat-2.5 and Qwen2-VL-72B-Instructdon'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

1526.6B diff

LongCat-2.5 has 1526.6B more parameters than Qwen2-VL-72B-Instruct, making it 2079.8% larger.

Meituan
LongCat-2.5
1.6Tparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
1600.0B
LongCat-2.5
73.4B
Qwen2-VL-72B-Instruct

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
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LongCat-2.5 and Qwen2-VL-72B-Instruct support multimodal inputs.

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

LongCat-2.5

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

LongCat-2.5 is 26 months newer than Qwen2-VL-72B-Instruct.

LongCat-2.5

Nov 1, 2026

0 days ago

2.2yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while LongCat-2.5's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without LongCat-2.5's cutoff date.

LongCat-2.5

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-2.5 and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Qwen2-VL-72B-Instruct.

Which is better, LongCat-2.5 or Qwen2-VL-72B-Instruct?

LongCat-2.5 leads the LLM Stats Score 50.0 to 13.7. LongCat-2.5 is made by Meituan and Qwen2-VL-72B-Instruct 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 Qwen2-VL-72B-Instruct 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%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for LongCat-2.5 and Qwen2-VL-72B-Instruct?

LongCat-2.5 supports 1.0M tokens and Qwen2-VL-72B-Instruct 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 Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (50.0 vs 13.7), licensing (Unknown vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Qwen2-VL-72B-Instruct?

LongCat-2.5 is developed by Meituan and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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