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LongCat-Flash-Lite vs Phi 4 Reasoning

LongCat-Flash-Lite leads the LLM Stats Score 18.6 to 12.0.

Meituan · Microsoft · Updated for 2026

Which is better?

LongCat-Flash-Lite leads the overall LLM Stats Score 18.6 to 12.0, ranking #218 overall.

In the 4 individual benchmarks reported for both models, LongCat-Flash-Lite 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-Lite

  • overall performance matters — it scores 18.6 and ranks #218 on LLM Stats
  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Feb 2026

Choose Phi 4 Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

LongCat-Flash-Lite
Meituan
Phi 4 Reasoning
Microsoft
Core performance indexes
LLM Stats Score
18.6
#218
12.0
#262
Reasoning
18.9
#211
12.6
#251
Coding
7.1
#195
6.4
#198
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
256,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-Flash-Lite
Phi 4 Reasoning
Math
17.2#198
13.6#228
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for LongCat-Flash-Lite · 11 for Phi 4 Reasoning

4 shared

LongCat-Flash-Lite outperforms in 3 benchmarks (AIME 2025, GPQA, MMLU-Pro), while Phi 4 Reasoning is better at 1 benchmark (AIME 2024).

LongCat-Flash-Lite shows notably better performance in the majority of benchmarks.

Mon Oct 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

54.5B diff

LongCat-Flash-Lite has 54.5B more parameters than Phi 4 Reasoning, making it 389.3% larger.

Meituan
LongCat-Flash-Lite
68.5Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
68.5B
LongCat-Flash-Lite
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Lite specifies input context (256,000 tokens). Only LongCat-Flash-Lite specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Mon Oct 05 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-Lite

MIT

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Lite was released on 2026-02-05, while Phi 4 Reasoning was released on 2025-04-30.

LongCat-Flash-Lite is 9 months newer than Phi 4 Reasoning.

LongCat-Flash-Lite

Feb 5, 2026

8 months ago

9mo 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-Lite'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-Lite's cutoff date.

LongCat-Flash-Lite

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

LongCat-Flash-Lite leads the LLM Stats Score 18.6 to 12.0. LongCat-Flash-Lite 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-Lite compare to Phi 4 Reasoning in benchmarks?

LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%. 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-Lite and Phi 4 Reasoning?

LongCat-Flash-Lite supports 256K 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-Lite and Phi 4 Reasoning?

Key differences include LLM Stats Score (18.6 vs 12.0). See the full comparison above for benchmark-by-benchmark results.

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

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

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