Model Comparison

DeepSeek R1 Distill Qwen 14B vs LongCat-Flash-Lite

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

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (AIME 2024), while LongCat-Flash-Lite is better at 2 benchmarks (GPQA, MATH-500).

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

Thu May 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

53.7B diff

LongCat-Flash-Lite has 53.7B more parameters than DeepSeek R1 Distill Qwen 14B, making it 362.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
68.5B
LongCat-Flash-Lite

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).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Thu May 21 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.

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while LongCat-Flash-Lite was released on 2026-02-05.

LongCat-Flash-Lite is 13 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.3 years ago

LongCat-Flash-Lite

Feb 5, 2026

3 months ago

1.0yr newer

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

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Key Takeaways

DeepSeek
Higher AIME 2024 score (80.0% vs 72.2%)
Meituan
Larger context window (256,000 tokens)
Higher GPQA score (66.8% vs 59.1%)
Higher MATH-500 score (96.8% vs 93.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Meituan
LongCat-Flash-Lite

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs LongCat-Flash-Lite.

Which is better, DeepSeek R1 Distill Qwen 14B or LongCat-Flash-Lite?

LongCat-Flash-Lite shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and LongCat-Flash-Lite is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 14B compare to LongCat-Flash-Lite in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and LongCat-Flash-Lite?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and LongCat-Flash-Lite supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes DeepSeek R1 Distill Qwen 14B and LongCat-Flash-Lite?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and LongCat-Flash-Lite is developed by Meituan.