Model Comparison

LongCat-Flash-Chat vs Qwen3-Next-80B-A3B-Base

Comparing LongCat-Flash-Chat and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LongCat-Flash-Chat and Qwen3-Next-80B-A3B-Base don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Meituan
LongCat-Flash-Chat
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

480.0B diff

LongCat-Flash-Chat has 480.0B more parameters than Qwen3-Next-80B-A3B-Base, making it 600.0% larger.

Meituan
LongCat-Flash-Chat
560.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
80.0Bparameters
560.0B
LongCat-Flash-Chat
80.0B
Qwen3-Next-80B-A3B-Base

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).

Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input- tokens
Output- tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

LongCat-Flash-Chat is licensed under MIT, while Qwen3-Next-80B-A3B-Base uses Apache 2.0.

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

LongCat-Flash-Chat

MIT

Open weights

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Chat was released on 2025-08-29, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.

Qwen3-Next-80B-A3B-Base is 0 month newer than LongCat-Flash-Chat.

LongCat-Flash-Chat

Aug 29, 2025

7 months ago

Qwen3-Next-80B-A3B-Base

Sep 10, 2025

7 months 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

Outputs Comparison

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Key Takeaways

Meituan
Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Chat
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base

FAQ

Common questions about LongCat-Flash-Chat vs Qwen3-Next-80B-A3B-Base

LongCat-Flash-Chat (Meituan) and Qwen3-Next-80B-A3B-Base (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%.
LongCat-Flash-Chat supports 128K tokens and Qwen3-Next-80B-A3B-Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
LongCat-Flash-Chat is developed by Meituan and Qwen3-Next-80B-A3B-Base is developed by Alibaba Cloud / Qwen Team.