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GPT-6 Luna vs MiniMax M1 40K

GPT-6 Luna leads the LLM Stats Score 43.1 to 20.0.

OpenAI · MiniMax · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 43.1 to 20.0, ranking #55 overall.

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

Choose GPT-6 Luna

  • overall performance matters — it scores 43.1 and ranks #55 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose MiniMax M1 40K

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

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
MiniMax M1 40K
MiniMax
Core performance indexes
LLM Stats Score
43.1
#55
20.0
#220
Reasoning
39.9
#69
20.2
#210
Coding
28.6
#71
7.7
#205
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Luna
MiniMax M1 40K
Tool use
22.5#55
12.7#120
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-6 Luna · 16 for MiniMax M1 40K

No common benchmarks found

GPT-6 Luna and MiniMax M1 40Kdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Luna specifies input context (1,050,000 tokens). Only GPT-6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Luna supports multimodal inputs, whereas MiniMax M1 40K does not.

GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Luna

Text
Images
Audio
Video

MiniMax M1 40K

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Luna 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-6 Luna

Proprietary

Closed source

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while MiniMax M1 40K was released on 2025-06-16.

GPT-6 Luna is 15 months newer than MiniMax M1 40K.

GPT-6 Luna

Sep 22, 2026

3 weeks ago

1.3yr newer
MiniMax M1 40K

Jun 16, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while MiniMax M1 40K's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without MiniMax M1 40K's cutoff date.

GPT-6 Luna

May 2026

MiniMax M1 40K

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Luna and MiniMax M1 40K side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
MiniMax M1 40K
Open in Playground

FAQ

Common questions about GPT-6 Luna vs MiniMax M1 40K.

Which is better, GPT-6 Luna or MiniMax M1 40K?

GPT-6 Luna leads the LLM Stats Score 43.1 to 20.0. GPT-6 Luna 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-6 Luna compare to MiniMax M1 40K in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. 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-6 Luna and MiniMax M1 40K?

GPT-6 Luna supports 1.1M 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-6 Luna and MiniMax M1 40K?

Key differences include LLM Stats Score (43.1 vs 20.0), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and MiniMax M1 40K?

GPT-6 Luna is developed by OpenAI and MiniMax M1 40K is developed by MiniMax.

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