Model Comparison

GPT-5.6 Luna vs MAI-Code-1-FlashWhich is better in 2026?

GPT-5.6 Luna significantly outperforms across most benchmarks.

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

GPT-5.6 Luna (by OpenAI) and MAI-Code-1-Flash (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 (FrontierMath, GPQA, SWE-Bench Pro), while MAI-Code-1-Flash 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-Code-1-Flash 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 (FrontierMath, GPQA, SWE-Bench Pro), while MAI-Code-1-Flash 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-Code-1-Flash
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-Code-1-Flash 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-Code-1-Flash

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-Code-1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

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

GPT-5.6 Luna is 1 month newer than MAI-Code-1-Flash.

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

1mo newer
MAI-Code-1-Flash

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-Code-1-Flash'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-Code-1-Flash's cutoff date.

GPT-5.6 Luna

Feb 2026

MAI-Code-1-Flash

—

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (1,050,000 tokens)
Supports multimodal inputs
Higher FrontierMath score (78.6% vs 6.3%)
Higher GPQA score (92.3% vs 84.6%)
Higher SWE-Bench Pro score (62.7% vs 51.2%)
Microsoft

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-Code-1-Flash side-by-side, then vote on the output you prefer.

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

FAQ

Common questions about GPT-5.6 Luna vs MAI-Code-1-Flash.

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

GPT-5.6 Luna significantly outperforms across most benchmarks. GPT-5.6 Luna is made by OpenAI and MAI-Code-1-Flash 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-Code-1-Flash 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-Code-1-Flash scores AIME 2026: 92.5%, GPQA: 84.6%, IFBench: 75.0%, Tau2 Telecom: 71.7%, SWE-Bench Verified: 71.6%.

What are the context window sizes for GPT-5.6 Luna and MAI-Code-1-Flash?

GPT-5.6 Luna supports 1.1M tokens and MAI-Code-1-Flash 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-Code-1-Flash?

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-Code-1-Flash?

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

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