Model Comparison

Gemini 3.1 Pro vs MAI-Thinking-1

Gemini 3.1 Pro significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 3.1 Pro outperforms in 4 benchmarks (GPQA, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while MAI-Thinking-1 is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3.1 Pro specifies input context (1,048,576 tokens). Only Gemini 3.1 Pro specifies output context (65,536 tokens).

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas MAI-Thinking-1 does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

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 3.1 Pro

Proprietary

Closed source

MAI-Thinking-1

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while MAI-Thinking-1 was released on 2026-06-02.

MAI-Thinking-1 is 3 months newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

MAI-Thinking-1

Jun 2, 2026

4 days ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while MAI-Thinking-1's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without MAI-Thinking-1's cutoff date.

Gemini 3.1 Pro

Jan 2025

MAI-Thinking-1

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Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (94.3% vs 84.2%)
Higher SWE-Bench Pro score (54.2% vs 52.8%)
Higher SWE-Bench Verified score (80.6% vs 73.5%)
Higher Terminal-Bench 2.0 score (68.5% vs 46.0%)
Microsoft

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

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Microsoft
MAI-Thinking-1

FAQ

Common questions about Gemini 3.1 Pro vs MAI-Thinking-1.

Which is better, Gemini 3.1 Pro or MAI-Thinking-1?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro 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 3.1 Pro compare to MAI-Thinking-1 in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. 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 3.1 Pro and MAI-Thinking-1?

Gemini 3.1 Pro 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 3.1 Pro 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 3.1 Pro and MAI-Thinking-1?

Gemini 3.1 Pro is developed by Google and MAI-Thinking-1 is developed by Microsoft.