Model Comparison

Gemini 3.5 Flash-Lite vs MAI-Thinking-1Which is better in 2026?

Gemini 3.5 Flash-Lite significantly outperforms across most benchmarks.

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

Gemini 3.5 Flash-Lite (by Google) 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.

Gemini 3.5 Flash-Lite outperforms in 1 benchmarks (SWE-Bench Pro), while MAI-Thinking-1 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-Thinking-1 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-Thinking-1 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-Thinking-1
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-Thinking-1 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-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.

Gemini 3.5 Flash-Lite

Proprietary

Closed source

MAI-Thinking-1

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

Gemini 3.5 Flash-Lite

Jul 21, 2026

0 days ago

1mo newer
MAI-Thinking-1

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-Thinking-1'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-Thinking-1's cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

MAI-Thinking-1

—

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 52.8%)
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-Thinking-1 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

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

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

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-Thinking-1?

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

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