Model Comparison

Gemini 2.5 Pro vs Phi-3.5-vision-instruct

Gemini 2.5 Pro significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.5 Pro outperforms in 1 benchmarks (MMMU), while Phi-3.5-vision-instruct is better at 0 benchmarks.

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Pro and Phi-3.5-vision-instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.5 Pro

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while Phi-3.5-vision-instruct uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.5 Pro

Proprietary

Closed source

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Phi-3.5-vision-instruct was released on 2024-08-23.

Gemini 2.5 Pro is 9 months newer than Phi-3.5-vision-instruct.

Gemini 2.5 Pro

May 20, 2025

11 months ago

9mo newer
Phi-3.5-vision-instruct

Aug 23, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Phi-3.5-vision-instruct's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Phi-3.5-vision-instruct's cutoff date.

Gemini 2.5 Pro

Jan 2025

Phi-3.5-vision-instruct

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher MMMU score (79.6% vs 43.0%)
Microsoft
Has open weights
GoogleGemini 2.5 Pro
MicrosoftPhi-3.5-vision-instruct
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
Microsoft
Phi-3.5-vision-instruct

FAQ

Common questions about Gemini 2.5 Pro vs Phi-3.5-vision-instruct.

Which is better, Gemini 2.5 Pro or Phi-3.5-vision-instruct?

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google and Phi-3.5-vision-instruct is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Pro compare to Phi-3.5-vision-instruct in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the context window sizes for Gemini 2.5 Pro and Phi-3.5-vision-instruct?

Gemini 2.5 Pro supports 1.0M tokens and Phi-3.5-vision-instruct 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 2.5 Pro and Phi-3.5-vision-instruct?

Key differences include licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro and Phi-3.5-vision-instruct?

Gemini 2.5 Pro is developed by Google and Phi-3.5-vision-instruct is developed by Microsoft.