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LongCat-2.5 vs Qwen2.5 VL 32B Instruct

LongCat-2.5 leads the LLM Stats Score 50.0 to 9.5.

Meituan · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 9.5, 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 and coding — 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 Qwen2.5 VL 32B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
50.0
#20
9.5
#306
48.3
#21
8.0
#312
38.6
#27
12.3
#179
36.3
#23
-3.3
#217
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
Qwen2.5 VL 32B Instruct
37.2#37
11.2#263
32.5#29
6.4#175
34.8#15
9.0#143
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 28 for Qwen2.5 VL 32B Instruct

1 shared

LongCat-2.5 outperforms in 1 benchmarks (MathVision), while Qwen2.5 VL 32B Instruct 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

1566.5B diff

LongCat-2.5 has 1566.5B more parameters than Qwen2.5 VL 32B Instruct, making it 4676.1% larger.

Meituan
LongCat-2.5
1.6Tparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
33.5Bparameters
1600.0B
LongCat-2.5
33.5B
Qwen2.5 VL 32B 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
Qwen2.5 VL 32B Instruct
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LongCat-2.5 and Qwen2.5 VL 32B 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

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

LongCat-2.5 is 20 months newer than Qwen2.5 VL 32B Instruct.

LongCat-2.5

Nov 1, 2026

-1 days ago

1.7yr newer
Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.7 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 Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Qwen2.5 VL 32B Instruct
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Qwen2.5 VL 32B Instruct.

Which is better, LongCat-2.5 or Qwen2.5 VL 32B Instruct?

LongCat-2.5 leads the LLM Stats Score 50.0 to 9.5. LongCat-2.5 is made by Meituan and Qwen2.5 VL 32B 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 Qwen2.5 VL 32B 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%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the context window sizes for LongCat-2.5 and Qwen2.5 VL 32B Instruct?

LongCat-2.5 supports 1.0M tokens and Qwen2.5 VL 32B 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 Qwen2.5 VL 32B Instruct?

Key differences include LLM Stats Score (50.0 vs 9.5), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Qwen2.5 VL 32B Instruct?

LongCat-2.5 is developed by Meituan and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.