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LongCat-2.5 vs Qwen2.5-Coder 7B Instruct

LongCat-2.5 leads the LLM Stats Score 50.0 to -3.7.

Meituan · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to -3.7, 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 and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

Choose Qwen2.5-Coder 7B Instruct

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

At a glance

The differences that matter most.

LongCat-2.5
Meituan
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
50.0
#20
-3.7
#384
Reasoning
48.3
#21
-3.7
#376
Coding
38.6
#27
6.4
#222
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

1 shared
Index
LongCat-2.5
Qwen2.5-Coder 7B Instruct
Math
37.2#37
-2.4#333
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 19 for Qwen2.5-Coder 7B Instruct

No common benchmarks found

LongCat-2.5 and Qwen2.5-Coder 7B 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

1593.0B diff

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

Meituan
LongCat-2.5
1.6Tparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
7.0Bparameters
1600.0B
LongCat-2.5
7.0B
Qwen2.5-Coder 7B 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-Coder 7B Instruct
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct 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

Qwen2.5-Coder 7B Instruct

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

LongCat-2.5 is 26 months newer than Qwen2.5-Coder 7B Instruct.

LongCat-2.5

Nov 1, 2026

0 days ago

2.1yr newer
Qwen2.5-Coder 7B Instruct

Sep 19, 2024

2.1 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-Coder 7B Instruct side-by-side, then vote on the output you prefer.

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

FAQ

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

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

LongCat-2.5 leads the LLM Stats Score 50.0 to -3.7. LongCat-2.5 is made by Meituan and Qwen2.5-Coder 7B 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-Coder 7B 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-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

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

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

Key differences include LLM Stats Score (50.0 vs -3.7), multimodal support (yes vs no), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

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

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