Model Comparison

DeepSeek R1 Distill Qwen 14B vs LongCat-Flash-Thinking-2601

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while LongCat-Flash-Thinking-2601 is better at 2 benchmarks (GPQA, LiveCodeBench).

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks.

Mon Jun 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

545.2B diff

LongCat-Flash-Thinking-2601 has 545.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 3683.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
560.0B
LongCat-Flash-Thinking-2601

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking-2601 specifies input context (128,000 tokens). Only LongCat-Flash-Thinking-2601 specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Mon Jun 01 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-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

LongCat-Flash-Thinking-2601 is 12 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.4 years ago

LongCat-Flash-Thinking-2601

Jan 14, 2026

4 months ago

11mo 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

No standout differentiators in the data we have for this pair.

Meituan
Larger context window (128,000 tokens)
Higher GPQA score (80.5% vs 59.1%)
Higher LiveCodeBench score (82.8% vs 53.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Meituan
LongCat-Flash-Thinking-2601

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs LongCat-Flash-Thinking-2601.

Which is better, DeepSeek R1 Distill Qwen 14B or LongCat-Flash-Thinking-2601?

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and LongCat-Flash-Thinking-2601 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-Thinking-2601 in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and LongCat-Flash-Thinking-2601?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and LongCat-Flash-Thinking-2601 supports 128K 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-Thinking-2601?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and LongCat-Flash-Thinking-2601 is developed by Meituan.