Model Comparison

GPT-5.6 Luna vs MAI-Thinking-1Which is better in 2026?

GPT-5.6 Luna significantly outperforms across most benchmarks.

Verdict: GPT-5.6 Luna vs MAI-Thinking-1 — which is better?

GPT-5.6 Luna (by OpenAI) and MAI-Thinking-1 (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-5.6 Luna outperforms in 3 benchmarks (GPQA, HealthBench Professional, SWE-Bench Pro), while MAI-Thinking-1 is better at 0 benchmarks. GPT-5.6 Luna significantly outperforms across most benchmarks.

Choose GPT-5.6 Luna if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Choose MAI-Thinking-1 if…

  • you are already invested in the Microsoft ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-5.6 Luna outperforms in 3 benchmarks (GPQA, HealthBench Professional, SWE-Bench Pro), while MAI-Thinking-1 is better at 0 benchmarks.

GPT-5.6 Luna significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.6 Luna specifies input context (1,050,000 tokens). Only GPT-5.6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.6 Luna supports multimodal inputs, whereas MAI-Thinking-1 does not.

GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 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-5.6 Luna

Proprietary

Closed source

MAI-Thinking-1

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while MAI-Thinking-1 was released on 2026-06-02.

GPT-5.6 Luna is 1 month newer than MAI-Thinking-1.

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

1mo newer
MAI-Thinking-1

Jun 2, 2026

1 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while MAI-Thinking-1's cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without MAI-Thinking-1's cutoff date.

GPT-5.6 Luna

Feb 2026

MAI-Thinking-1

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,050,000 tokens)
Supports multimodal inputs
Higher GPQA score (92.3% vs 84.2%)
Higher HealthBench Professional score (55.7% vs 35.0%)
Higher SWE-Bench Pro score (62.7% vs 52.8%)

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and MAI-Thinking-1 side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
MAI-Thinking-1
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Luna
Microsoft
MAI-Thinking-1

FAQ

Common questions about GPT-5.6 Luna vs MAI-Thinking-1.

Which is better, GPT-5.6 Luna or MAI-Thinking-1?

GPT-5.6 Luna significantly outperforms across most benchmarks. GPT-5.6 Luna is made by OpenAI and MAI-Thinking-1 is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.6 Luna compare to MAI-Thinking-1 in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. 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-5.6 Luna and MAI-Thinking-1?

GPT-5.6 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-5.6 Luna and MAI-Thinking-1?

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Luna and MAI-Thinking-1?

GPT-5.6 Luna is developed by OpenAI and MAI-Thinking-1 is developed by Microsoft.