LongCat-Flash-Lite vs Qwen3.5-397B-A17B Comparison
Comparing LongCat-Flash-Lite and Qwen3.5-397B-A17B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
LongCat-Flash-Lite outperforms in 0 benchmarks, while Qwen3.5-397B-A17B is better at 4 benchmarks (GPQA, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Verified).
Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, LongCat-Flash-Lite ($0.10/1M tokens) is 6.0x cheaper than Qwen3.5-397B-A17B ($0.60/1M tokens).
For output processing, LongCat-Flash-Lite ($0.40/1M tokens) is 9.0x cheaper than Qwen3.5-397B-A17B ($3.60/1M tokens).
In conclusion, Qwen3.5-397B-A17B is more expensive than LongCat-Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3.5-397B-A17B has 328.5B more parameters than LongCat-Flash-Lite, making it 479.6% larger.
Context Window
Maximum input and output token capacity
Qwen3.5-397B-A17B accepts 262,144 input tokens compared to LongCat-Flash-Lite's 256,000 tokens. LongCat-Flash-Lite can generate longer responses up to 128,000 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Qwen3.5-397B-A17B supports multimodal inputs, whereas LongCat-Flash-Lite does not.
Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.
LongCat-Flash-Lite
Qwen3.5-397B-A17B
License
Usage and distribution terms
LongCat-Flash-Lite is licensed under MIT, while Qwen3.5-397B-A17B 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-Lite was released on 2026-02-05, while Qwen3.5-397B-A17B was released on 2026-02-16.
Qwen3.5-397B-A17B is 0 month newer than LongCat-Flash-Lite.
Feb 5, 2026
1 months ago
Feb 16, 2026
3 weeks ago
1w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
LongCat-Flash-Lite is available from Meituan. Qwen3.5-397B-A17B is available from Novita. The availability of providers can affect quality of the model and reliability.
LongCat-Flash-Lite
Qwen3.5-397B-A17B
Outputs Comparison
Key Takeaways
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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