Model Comparison

Gemini 3.1 Pro vs MAI-Image-2.5Which is better in 2026?

Comparing Gemini 3.1 Pro and MAI-Image-2.5 across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.1 Pro vs MAI-Image-2.5 — which is better?

Gemini 3.1 Pro (by Google) and MAI-Image-2.5 (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 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you process long inputs — it offers a 1,048,576 token context window

Choose MAI-Image-2.5 if…

  • you are already invested in the Microsoft ecosystem
AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Microsoft
MAI-Image-2.5

FAQ

Common questions about Gemini 3.1 Pro vs MAI-Image-2.5.

Which is better, Gemini 3.1 Pro or MAI-Image-2.5?

Gemini 3.1 Pro (Google) and MAI-Image-2.5 (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.1 Pro compare to MAI-Image-2.5 in benchmarks?

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

What are the context window sizes for Gemini 3.1 Pro and MAI-Image-2.5?

Gemini 3.1 Pro supports 1.0M tokens and MAI-Image-2.5 supports 4K 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-Image-2.5?

Key differences include context window (1.0M vs 4K). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and MAI-Image-2.5?

Gemini 3.1 Pro is developed by Google and MAI-Image-2.5 is developed by Microsoft.

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