Model Comparison

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

Comparing LongCat-Flash-Thinking 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-Thinking 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
Tue Apr 14 2026 • llm-stats.com
Meituan
LongCat-Flash-Thinking
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-Thinking has 480.0B more parameters than Qwen3-Next-80B-A3B-Base, making it 600.0% larger.

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

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking specifies input context (128,000 tokens). Only LongCat-Flash-Thinking specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input- tokens
Output- tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

LongCat-Flash-Thinking 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-Thinking

MIT

Open weights

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking was released on 2025-09-22, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.

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

LongCat-Flash-Thinking

Sep 22, 2025

6 months ago

1w newer
Qwen3-Next-80B-A3B-Base

Sep 10, 2025

7 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

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-Thinking
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base

FAQ

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

LongCat-Flash-Thinking (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-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.
LongCat-Flash-Thinking 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-Thinking is developed by Meituan and Qwen3-Next-80B-A3B-Base is developed by Alibaba Cloud / Qwen Team.