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GPT-5 mini vs MiniMax M1 40K

GPT-5 mini leads the LLM Stats Score 27.4 to 20.6.

OpenAI · MiniMax · Updated for 2026

Which is better?

GPT-5 mini leads the overall LLM Stats Score 27.4 to 20.6, ranking #142 overall.

In the 3 individual benchmarks reported for both models, GPT-5 mini wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-5 mini

  • overall performance matters — it scores 27.4 and ranks #142 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Aug 2025

Choose MiniMax M1 40K

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
27.4
#142
20.6
#192
26.8
#141
20.8
#181
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.25 / M
— / M
Output price
$2.00 / M
— / M
Context window
400,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5 mini
MiniMax M1 40K
25.6#105
18.1#186
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-5 mini · 16 for MiniMax M1 40K

3 shared

GPT-5 mini outperforms in 3 benchmarks (AIME 2025, GPQA, Humanity's Last Exam), while MiniMax M1 40K is better at 0 benchmarks.

GPT-5 mini significantly outperforms across most benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5 mini specifies input context (400,000 tokens). Only GPT-5 mini specifies output context (128,000 tokens).

OpenAI
GPT-5 mini
Input400,000 tokens
Output128,000 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5 mini supports multimodal inputs, whereas MiniMax M1 40K does not.

GPT-5 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 mini

Text
Images
Audio
Video

MiniMax M1 40K

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 mini is licensed under a proprietary license, while MiniMax M1 40K uses MIT.

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

GPT-5 mini

Proprietary

Closed source

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

GPT-5 mini was released on 2025-08-07, while MiniMax M1 40K was released on 2025-06-16.

GPT-5 mini is 2 months newer than MiniMax M1 40K.

GPT-5 mini

Aug 7, 2025

1.1 years ago

1mo newer
MiniMax M1 40K

Jun 16, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while MiniMax M1 40K's cutoff date is not specified.

We can confirm GPT-5 mini's training data extends to 2024-05-30, but cannot make a direct comparison without MiniMax M1 40K's cutoff date.

GPT-5 mini

May 2024

MiniMax M1 40K

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5 mini and MiniMax M1 40K side-by-side, then vote on the output you prefer.

GPT-5 mini
✓ Preferred
MiniMax M1 40K
Open in Playground

FAQ

Common questions about GPT-5 mini vs MiniMax M1 40K.

Which is better, GPT-5 mini or MiniMax M1 40K?

GPT-5 mini leads the LLM Stats Score 27.4 to 20.6. GPT-5 mini is made by OpenAI and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5 mini compare to MiniMax M1 40K in benchmarks?

GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%. 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 GPT-5 mini and MiniMax M1 40K?

GPT-5 mini supports 400K 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.

What are the main differences between GPT-5 mini and MiniMax M1 40K?

Key differences include LLM Stats Score (27.4 vs 20.6), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 mini and MiniMax M1 40K?

GPT-5 mini is developed by OpenAI and MiniMax M1 40K is developed by MiniMax.