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GPT-6 Luna vs MAI-Thinking-1

GPT-6 Luna leads the LLM Stats Score 44.3 to 33.0.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.3 to 33.0, ranking #42 overall.

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

Choose GPT-6 Luna

  • overall performance matters — it scores 44.3 and ranks #42 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 MAI-Thinking-1

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
MAI-Thinking-1
Microsoft
Core performance indexes
LLM Stats Score
44.3
#42
33.0
#110
Reasoning
39.8
#61
33.8
#101
Coding
31.1
#49
19.2
#115
Agents
31.5
#33
12.6
#106
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
MAI-Thinking-1
Tool use
21.4#52
10.7#125
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-6 Luna · 23 for MAI-Thinking-1

No common benchmarks found

GPT-6 Luna and MAI-Thinking-1don'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
Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Luna supports multimodal inputs, whereas MAI-Thinking-1 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

MAI-Thinking-1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-6 Luna

Proprietary

Closed source

MAI-Thinking-1

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while MAI-Thinking-1 was released on 2026-06-02.

GPT-6 Luna is 4 months newer than MAI-Thinking-1.

GPT-6 Luna

Sep 22, 2026

1 weeks ago

3mo newer
MAI-Thinking-1

Jun 2, 2026

4 months ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while MAI-Thinking-1'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 MAI-Thinking-1's cutoff date.

GPT-6 Luna

May 2026

MAI-Thinking-1

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Luna and MAI-Thinking-1 side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
MAI-Thinking-1
Open in Playground

FAQ

Common questions about GPT-6 Luna vs MAI-Thinking-1.

Which is better, GPT-6 Luna or MAI-Thinking-1?

GPT-6 Luna leads the LLM Stats Score 44.3 to 33.0. GPT-6 Luna is made by OpenAI and MAI-Thinking-1 is made by Microsoft. 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 MAI-Thinking-1 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%. MAI-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%.

What are the context window sizes for GPT-6 Luna and MAI-Thinking-1?

GPT-6 Luna supports 1.1M tokens and MAI-Thinking-1 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 MAI-Thinking-1?

Key differences include LLM Stats Score (44.3 vs 33.0), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and MAI-Thinking-1?

GPT-6 Luna is developed by OpenAI and MAI-Thinking-1 is developed by Microsoft.

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