Model Comparison

Qwen3.5-397B-A17B vs LongCat-Flash-Lite

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. LongCat-Flash-Lite is 7.7x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Qwen3.5-397B-A17B outperforms in 4 benchmarks (GPQA, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Verified), while LongCat-Flash-Lite is better at 0 benchmarks.

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Lite costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 6.0x more expensive than LongCat-Flash-Lite ($0.10/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 9.0x more expensive than LongCat-Flash-Lite ($0.40/1M 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
Wed Apr 15 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
Meituan
LongCat-Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

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.

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

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.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Wed Apr 15 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.

Qwen3.5-397B-A17B

Text
Images
Audio
Video

LongCat-Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while LongCat-Flash-Lite uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3.5-397B-A17B

Apache 2.0

Open weights

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while LongCat-Flash-Lite was released on 2026-02-05.

Qwen3.5-397B-A17B is 0 month newer than LongCat-Flash-Lite.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

1w newer
LongCat-Flash-Lite

Feb 5, 2026

2 months ago

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

Qwen3.5-397B-A17B is available from Novita. LongCat-Flash-Lite is available from Meituan.

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

LongCat-Flash-Lite

meituan logo
Meituan
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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%)
Meituan
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

Common questions about Qwen3.5-397B-A17B vs LongCat-Flash-Lite

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and LongCat-Flash-Lite is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.
LongCat-Flash-Lite is 6.0x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.
Qwen3.5-397B-A17B supports 262K tokens and LongCat-Flash-Lite supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 256K), input pricing ($0.60 vs $0.10/M), multimodal support (yes vs no), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.
Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and LongCat-Flash-Lite is developed by Meituan.