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LongCat-Flash-Chat vs Phi 4 Reasoning

LongCat-Flash-Chat leads the LLM Stats Score 19.8 to 12.0.

Meituan · Microsoft · Updated for 2026

Which is better?

LongCat-Flash-Chat leads the overall LLM Stats Score 19.8 to 12.0, ranking #198 overall.

In the 5 individual benchmarks reported for both models, LongCat-Flash-Chat wins 3; 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-Flash-Chat

  • overall performance matters — it scores 19.8 and ranks #198 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results
  • you want the most recent training data — it shipped Aug 2025

Choose Phi 4 Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

LongCat-Flash-Chat
Meituan
Phi 4 Reasoning
Microsoft
Core performance indexes
LLM Stats Score
19.8
#198
12.0
#254
Reasoning
19.8
#194
12.6
#243
Coding
12.4
#146
6.4
#190
Cost, coverage & limits
Benchmark wins
3 of 5
2 of 5
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-Flash-Chat
Phi 4 Reasoning
Math
18.9#174
13.6#226
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for LongCat-Flash-Chat · 11 for Phi 4 Reasoning

5 shared

LongCat-Flash-Chat outperforms in 3 benchmarks (GPQA, IFEval, MMLU-Pro), while Phi 4 Reasoning is better at 2 benchmarks (AIME 2025, LiveCodeBench).

LongCat-Flash-Chat has a slight edge in benchmark performance.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

546.0B diff

LongCat-Flash-Chat has 546.0B more parameters than Phi 4 Reasoning, making it 3900.0% larger.

Meituan
LongCat-Flash-Chat
560.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
560.0B
LongCat-Flash-Chat
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Chat specifies input context (128,000 tokens). Only LongCat-Flash-Chat specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

LongCat-Flash-Chat

MIT

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Chat was released on 2025-08-29, while Phi 4 Reasoning was released on 2025-04-30.

LongCat-Flash-Chat is 4 months newer than Phi 4 Reasoning.

LongCat-Flash-Chat

Aug 29, 2025

1.1 years ago

4mo newer
Phi 4 Reasoning

Apr 30, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while LongCat-Flash-Chat'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-Flash-Chat's cutoff date.

LongCat-Flash-Chat

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

LongCat-Flash-Chat
✓ Preferred
Phi 4 Reasoning
Open in Playground

FAQ

Common questions about LongCat-Flash-Chat vs Phi 4 Reasoning.

Which is better, LongCat-Flash-Chat or Phi 4 Reasoning?

LongCat-Flash-Chat leads the LLM Stats Score 19.8 to 12.0. LongCat-Flash-Chat 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-Flash-Chat compare to Phi 4 Reasoning in benchmarks?

LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%. 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-Flash-Chat and Phi 4 Reasoning?

LongCat-Flash-Chat supports 128K 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-Flash-Chat and Phi 4 Reasoning?

Key differences include LLM Stats Score (19.8 vs 12.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Chat and Phi 4 Reasoning?

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

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