Model Comparison

LongCat-Flash-Chat vs Phi 4 ReasoningWhich is better in 2026?

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

Verdict: LongCat-Flash-Chat vs Phi 4 Reasoning — which is better?

LongCat-Flash-Chat (by Meituan) and Phi 4 Reasoning (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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.

Choose LongCat-Flash-Chat if…

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
  • you want the most recent training data — it shipped Aug 2025

Choose Phi 4 Reasoning if…

  • you are already invested in the Microsoft ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

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
Mon Jul 27 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

11 months ago

4mo newer
Phi 4 Reasoning

Apr 30, 2025

1.2 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→

Key Takeaways

Meituan
Larger context window (128,000 tokens)
Higher GPQA score (73.2% vs 65.8%)
Higher IFEval score (89.6% vs 83.4%)
Higher MMLU-Pro score (82.7% vs 74.3%)
Microsoft
Higher AIME 2025 score (62.9% vs 61.3%)
Higher LiveCodeBench score (53.8% vs 48.0%)

Detailed Comparison

Interactive Arena

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
AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Chat
Microsoft
Phi 4 Reasoning

FAQ

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

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

LongCat-Flash-Chat has a slight edge in benchmark performance. 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 benchmark scores, pricing, and capabilities 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.

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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