LongCat-Flash-Chat vs Qwen2.5 32B Instruct Comparison
Comparing LongCat-Flash-Chat and Qwen2.5 32B 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 Qwen2.5 32B Instruct is better at 0 benchmarks.
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 527.5B more parameters than Qwen2.5 32B Instruct, making it 1623.1% 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 Qwen2.5 32B Instruct 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-Chat was released on 2025-08-29, while Qwen2.5 32B Instruct was released on 2024-09-19.
LongCat-Flash-Chat is 11 months newer than Qwen2.5 32B Instruct.
Aug 29, 2025
6 months ago
11mo newerSep 19, 2024
1.5 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
Qwen2.5 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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