LongCat-Flash-Chat vs Qwen2 72B Instruct Comparison
Comparing LongCat-Flash-Chat and Qwen2 72B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
LongCat-Flash-Chat outperforms in 4 benchmarks (GPQA, HumanEval, MMLU, MMLU-Pro), while Qwen2 72B Instruct is better at 1 benchmark (CMMLU).
LongCat-Flash-Chat 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-Chat 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-Chat specifies input context (128,000 tokens). Only LongCat-Flash-Chat specifies output context (128,000 tokens).
License
Usage and distribution terms
LongCat-Flash-Chat 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-Chat was released on 2025-08-29, while Qwen2 72B Instruct was released on 2024-07-23.
LongCat-Flash-Chat is 13 months newer than Qwen2 72B Instruct.
Aug 29, 2025
6 months ago
1.1yr 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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