LongCat-Flash-Thinking-2601 vs QwQ-32B Comparison
Comparing LongCat-Flash-Thinking-2601 and QwQ-32B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
LongCat-Flash-Thinking-2601 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while QwQ-32B is better at 0 benchmarks.
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 527.5B more parameters than QwQ-32B, making it 1623.1% 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
LongCat-Flash-Thinking-2601 is licensed under MIT, while QwQ-32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
LongCat-Flash-Thinking-2601 was released on 2026-01-14, while QwQ-32B was released on 2025-03-05.
LongCat-Flash-Thinking-2601 is 11 months newer than QwQ-32B.
Jan 14, 2026
2 months ago
10mo newerMar 5, 2025
1.0 years ago
Knowledge Cutoff
When training data ends
QwQ-32B has a documented knowledge cutoff of 2024-11-28, while LongCat-Flash-Thinking-2601's cutoff date is not specified.
We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without LongCat-Flash-Thinking-2601's cutoff date.
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Nov 2024
Outputs Comparison
Key Takeaways
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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