Model Comparison

LongCat-Flash-Thinking-2601 vs MiniMax M1 40K

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

LongCat-Flash-Thinking-2601 outperforms in 5 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, LiveCodeBench, SWE-Bench Verified), while MiniMax M1 40K is better at 0 benchmarks.

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

104.0B diff

LongCat-Flash-Thinking-2601 has 104.0B more parameters than MiniMax M1 40K, making it 22.8% larger.

Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
560.0B
LongCat-Flash-Thinking-2601
456.0B
MiniMax M1 40K

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking-2601 specifies input context (128,000 tokens). Only LongCat-Flash-Thinking-2601 specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Wed May 13 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

LongCat-Flash-Thinking-2601

MIT

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking-2601 was released on 2026-01-14, while MiniMax M1 40K was released on 2025-06-16.

LongCat-Flash-Thinking-2601 is 7 months newer than MiniMax M1 40K.

LongCat-Flash-Thinking-2601

Jan 14, 2026

3 months ago

7mo newer
MiniMax M1 40K

Jun 16, 2025

11 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)
Higher AIME 2025 score (99.6% vs 74.6%)
Higher GPQA score (80.5% vs 69.2%)
Higher Humanity's Last Exam score (25.2% vs 7.2%)
Higher LiveCodeBench score (82.8% vs 62.3%)
Higher SWE-Bench Verified score (70.0% vs 55.6%)
MiniMax

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Thinking-2601
MiniMax
MiniMax M1 40K

FAQ

Common questions about LongCat-Flash-Thinking-2601 vs MiniMax M1 40K.

Which is better, LongCat-Flash-Thinking-2601 or MiniMax M1 40K?

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks. LongCat-Flash-Thinking-2601 is made by Meituan and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does LongCat-Flash-Thinking-2601 compare to MiniMax M1 40K in benchmarks?

LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the context window sizes for LongCat-Flash-Thinking-2601 and MiniMax M1 40K?

LongCat-Flash-Thinking-2601 supports 128K tokens and MiniMax M1 40K supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes LongCat-Flash-Thinking-2601 and MiniMax M1 40K?

LongCat-Flash-Thinking-2601 is developed by Meituan and MiniMax M1 40K is developed by MiniMax.