Model Comparison

Gemini 3.5 Flash-Lite vs MAI-Code-1-FlashWhich is better in 2026?

Gemini 3.5 Flash-Lite significantly outperforms across most benchmarks.

Verdict: Gemini 3.5 Flash-Lite vs MAI-Code-1-Flash — which is better?

Gemini 3.5 Flash-Lite (by Google) 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.

Gemini 3.5 Flash-Lite outperforms in 1 benchmarks (SWE-Bench Pro), while MAI-Code-1-Flash is better at 0 benchmarks. Gemini 3.5 Flash-Lite significantly outperforms across most benchmarks.

Choose Gemini 3.5 Flash-Lite if…

  • you want the strongest raw capability — it leads on 1 of 1 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

1 benchmarks

Gemini 3.5 Flash-Lite outperforms in 1 benchmarks (SWE-Bench Pro), while MAI-Code-1-Flash is better at 0 benchmarks.

Gemini 3.5 Flash-Lite 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 Gemini 3.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 3.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Microsoft
MAI-Code-1-Flash
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.5 Flash-Lite supports multimodal inputs, whereas MAI-Code-1-Flash does not.

Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.5 Flash-Lite

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.

Gemini 3.5 Flash-Lite

Proprietary

Closed source

MAI-Code-1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while MAI-Code-1-Flash was released on 2026-06-02.

Gemini 3.5 Flash-Lite is 2 months newer than MAI-Code-1-Flash.

Gemini 3.5 Flash-Lite

Jul 21, 2026

0 days ago

1mo newer
MAI-Code-1-Flash

Jun 2, 2026

1 months ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while MAI-Code-1-Flash's cutoff date is not specified.

We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without MAI-Code-1-Flash's cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

MAI-Code-1-Flash

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Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher SWE-Bench Pro score (54.2% 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 Gemini 3.5 Flash-Lite and MAI-Code-1-Flash side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
MAI-Code-1-Flash
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
Microsoft
MAI-Code-1-Flash

FAQ

Common questions about Gemini 3.5 Flash-Lite vs MAI-Code-1-Flash.

Which is better, Gemini 3.5 Flash-Lite or MAI-Code-1-Flash?

Gemini 3.5 Flash-Lite significantly outperforms across most benchmarks. Gemini 3.5 Flash-Lite is made by Google 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 Gemini 3.5 Flash-Lite compare to MAI-Code-1-Flash in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. 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 Gemini 3.5 Flash-Lite and MAI-Code-1-Flash?

Gemini 3.5 Flash-Lite supports 1.0M 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 Gemini 3.5 Flash-Lite 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 Gemini 3.5 Flash-Lite and MAI-Code-1-Flash?

Gemini 3.5 Flash-Lite is developed by Google and MAI-Code-1-Flash is developed by Microsoft.

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