DeepSeek R1 Distill Qwen 14B vs LongCat-Flash-Chat Comparison
Comparing DeepSeek R1 Distill Qwen 14B and LongCat-Flash-Chat across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (LiveCodeBench), while LongCat-Flash-Chat is better at 2 benchmarks (GPQA, MATH-500).
LongCat-Flash-Chat shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
LongCat-Flash-Chat has 545.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 3683.8% larger.
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).
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while LongCat-Flash-Chat was released on 2025-08-29.
LongCat-Flash-Chat is 7 months newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.1 years ago
Aug 29, 2025
6 months ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Detailed Comparison
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