Model Comparison

Gemini 3 Pro vs MAI-Image-2.5Which is better in 2026?

Comparing Gemini 3 Pro and MAI-Image-2.5 across benchmarks, pricing, and capabilities.

Verdict: Gemini 3 Pro vs MAI-Image-2.5 — which is better?

Gemini 3 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 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 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 Pro
Microsoft
MAI-Image-2.5

FAQ

Common questions about Gemini 3 Pro vs MAI-Image-2.5.

Which is better, Gemini 3 Pro or MAI-Image-2.5?

Gemini 3 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 Pro compare to MAI-Image-2.5 in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%.

What are the context window sizes for Gemini 3 Pro and MAI-Image-2.5?

Gemini 3 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 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 Pro and MAI-Image-2.5?

Gemini 3 Pro is developed by Google and MAI-Image-2.5 is developed by Microsoft.

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