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LongCat-Flash-Lite vs MiniMax M1 40K

MiniMax M1 40K significantly outperforms across most benchmarks.

Meituan · MiniMax · Updated for 2026

Which is better?

LongCat-Flash-Lite outperforms in 1 benchmarks (MATH-500), while MiniMax M1 40K is better at 5 benchmarks (AIME 2024, AIME 2025, GPQA, MMLU-Pro, SWE-Bench Verified). MiniMax M1 40K significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose LongCat-Flash-Lite

  • you want the most recent training data — it shipped Feb 2026

Choose MiniMax M1 40K

  • you want the strongest raw capability — it leads on 5 of 6 shared benchmarks

At a glance

The differences that matter most.

LongCat-Flash-Lite
Meituan
MiniMax M1 40K
MiniMax
Benchmark wins
1 of 6
5 of 6
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
256,000
—
Released
Feb 2026
Jun 2025
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

LongCat-Flash-Lite outperforms in 1 benchmarks (MATH-500), while MiniMax M1 40K is better at 5 benchmarks (AIME 2024, AIME 2025, GPQA, MMLU-Pro, SWE-Bench Verified).

MiniMax M1 40K significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

387.5B diff

MiniMax M1 40K has 387.5B more parameters than LongCat-Flash-Lite, making it 565.7% larger.

Meituan
LongCat-Flash-Lite
68.5Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
68.5B
LongCat-Flash-Lite
456.0B
MiniMax M1 40K

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Lite specifies input context (256,000 tokens). Only LongCat-Flash-Lite specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Mon Aug 24 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-Lite

MIT

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Lite was released on 2026-02-05, while MiniMax M1 40K was released on 2025-06-16.

LongCat-Flash-Lite is 8 months newer than MiniMax M1 40K.

LongCat-Flash-Lite

Feb 5, 2026

6 months ago

7mo newer
MiniMax M1 40K

Jun 16, 2025

1.2 years 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

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against LongCat-Flash-Lite and MiniMax M1 40K side-by-side, then vote on the output you prefer.

LongCat-Flash-Lite
✓ Preferred
MiniMax M1 40K
Open in Playground

FAQ

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

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

MiniMax M1 40K significantly outperforms across most benchmarks. LongCat-Flash-Lite 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-Lite compare to MiniMax M1 40K in benchmarks?

LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%. 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-Lite and MiniMax M1 40K?

LongCat-Flash-Lite supports 256K 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-Lite and MiniMax M1 40K?

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

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