DeepSeek R1 Distill Qwen 1.5B vs LongCat-Flash-Thinking-2601 Comparison
Comparing DeepSeek R1 Distill Qwen 1.5B and LongCat-Flash-Thinking-2601 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 1.5B 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.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
LongCat-Flash-Thinking-2601 has 558.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 31360.7% larger.
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).
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 1.5B 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 1.5B.
Jan 20, 2025
1.1 years ago
Jan 14, 2026
2 months ago
11mo 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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