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LongCat-2.5 vs Qwen2.5-Omni-7B

LongCat-2.5 leads the LLM Stats Score 50.0 to 4.8.

Meituan · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 4.8, 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-Omni-7B

  • 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
4.8
#337
48.3
#21
0.9
#352
38.6
#27
1.0
#271
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-Omni-7B
37.2#37
4.8#300
32.5#29
5.2#182
34.8#15
6.5#156
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 45 for Qwen2.5-Omni-7B

1 shared

LongCat-2.5 outperforms in 1 benchmarks (MathVision), while Qwen2.5-Omni-7B 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

1593.0B diff

LongCat-2.5 has 1593.0B more parameters than Qwen2.5-Omni-7B, making it 22757.1% larger.

Meituan
LongCat-2.5
1.6Tparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
1600.0B
LongCat-2.5
7.0B
Qwen2.5-Omni-7B

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-Omni-7B
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-Omni-7B 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-Omni-7B

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Qwen2.5-Omni-7B was released on 2025-03-27.

LongCat-2.5 is 19 months newer than Qwen2.5-Omni-7B.

LongCat-2.5

Nov 1, 2026

1 days ago

1.6yr newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.6 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-Omni-7B side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Qwen2.5-Omni-7B.

Which is better, LongCat-2.5 or Qwen2.5-Omni-7B?

LongCat-2.5 leads the LLM Stats Score 50.0 to 4.8. LongCat-2.5 is made by Meituan and Qwen2.5-Omni-7B 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-Omni-7B 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-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

What are the context window sizes for LongCat-2.5 and Qwen2.5-Omni-7B?

LongCat-2.5 supports 1.0M tokens and Qwen2.5-Omni-7B 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-Omni-7B?

Key differences include LLM Stats Score (50.0 vs 4.8), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Qwen2.5-Omni-7B?

LongCat-2.5 is developed by Meituan and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.