The AI arena is free today

Open Superagent

LongCat-2.5 vs Phi 4 Reasoning

LongCat-2.5 leads the LLM Stats Score 50.0 to 11.5.

Meituan · Microsoft · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 11.5, 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 Phi 4 Reasoning

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

At a glance

The differences that matter most.

LongCat-2.5
Meituan
Phi 4 Reasoning
Microsoft
Core performance indexes
LLM Stats Score
50.0
#20
11.5
#295
Reasoning
48.3
#21
12.1
#282
Coding
38.6
#27
6.3
#223
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
Phi 4 Reasoning
Math
37.2#37
13.6#244
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 11 for Phi 4 Reasoning

No common benchmarks found

LongCat-2.5 and Phi 4 Reasoningdon'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

1586.0B diff

LongCat-2.5 has 1586.0B more parameters than Phi 4 Reasoning, making it 11328.6% larger.

Meituan
LongCat-2.5
1.6Tparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
1600.0B
LongCat-2.5
14.0B
Phi 4 Reasoning

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
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas Phi 4 Reasoning 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

Phi 4 Reasoning

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Phi 4 Reasoning was released on 2025-04-30.

LongCat-2.5 is 18 months newer than Phi 4 Reasoning.

LongCat-2.5

Nov 1, 2026

-1 days ago

1.5yr newer
Phi 4 Reasoning

Apr 30, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while LongCat-2.5's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without LongCat-2.5's cutoff date.

LongCat-2.5

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-2.5 and Phi 4 Reasoning side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Phi 4 Reasoning
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Phi 4 Reasoning.

Which is better, LongCat-2.5 or Phi 4 Reasoning?

LongCat-2.5 leads the LLM Stats Score 50.0 to 11.5. LongCat-2.5 is made by Meituan and Phi 4 Reasoning is made by Microsoft. 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 Phi 4 Reasoning 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%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

What are the context window sizes for LongCat-2.5 and Phi 4 Reasoning?

LongCat-2.5 supports 1.0M tokens and Phi 4 Reasoning 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 Phi 4 Reasoning?

Key differences include LLM Stats Score (50.0 vs 11.5), multimodal support (yes vs no), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Phi 4 Reasoning?

LongCat-2.5 is developed by Meituan and Phi 4 Reasoning is developed by Microsoft.

Related comparisons