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

4 benchmarks

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.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Lite costs less

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Meituan
LongCat-Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
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Model Size

Parameter count comparison

328.5B diff

Qwen3.5-397B-A17B has 328.5B more parameters than LongCat-Flash-Lite, making it 479.6% larger.

Meituan
LongCat-Flash-Lite
68.5Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
68.5B
LongCat-Flash-Lite
397.0B
Qwen3.5-397B-A17B

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.

Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Sat Mar 14 2026 • llm-stats.com

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

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

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.

LongCat-Flash-Lite

MIT

Open weights

Qwen3.5-397B-A17B

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.

LongCat-Flash-Lite

Feb 5, 2026

1 months ago

Qwen3.5-397B-A17B

Feb 16, 2026

3 weeks ago

1w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

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

meituan logo
Meituan
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs
Higher GPQA score (88.4% vs 66.8%)
Higher MMLU-Pro score (87.8% vs 78.3%)
Higher SWE-bench Multilingual score (69.3% vs 38.1%)
Higher SWE-Bench Verified score (76.4% vs 54.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Lite
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B