LongCat-Flash-Thinking-2601 vs Qwen2 72B Instruct Comparison
Comparing LongCat-Flash-Thinking-2601 and Qwen2 72B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
LongCat-Flash-Thinking-2601 outperforms in 1 benchmarks (GPQA), while Qwen2 72B Instruct 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 488.0B more parameters than Qwen2 72B Instruct, making it 677.8% 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 Qwen2 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
LongCat-Flash-Thinking-2601 was released on 2026-01-14, while Qwen2 72B Instruct was released on 2024-07-23.
LongCat-Flash-Thinking-2601 is 18 months newer than Qwen2 72B Instruct.
Jan 14, 2026
2 months ago
1.5yr newerJul 23, 2024
1.6 years ago
Knowledge 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
Qwen2 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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