Model Comparison

Gemini 1.5 Pro vs Phi-3.5-vision-instructWhich is better in 2026?

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Verdict: Gemini 1.5 Pro vs Phi-3.5-vision-instruct — which is better?

Gemini 1.5 Pro (by Google) and Phi-3.5-vision-instruct (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 1.5 Pro outperforms in 2 benchmarks (MathVista, MMMU), while Phi-3.5-vision-instruct is better at 0 benchmarks. Gemini 1.5 Pro significantly outperforms across most benchmarks.

Choose Gemini 1.5 Pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Choose Phi-3.5-vision-instruct if…

  • you want the most recent training data — it shipped Aug 2024
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.5 Pro outperforms in 2 benchmarks (MathVista, MMMU), while Phi-3.5-vision-instruct is better at 0 benchmarks.

Gemini 1.5 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 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 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 1.5 Pro

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 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 1.5 Pro

Proprietary

Closed source

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Phi-3.5-vision-instruct was released on 2024-08-23.

Phi-3.5-vision-instruct is 4 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.1 years ago

Phi-3.5-vision-instruct

Aug 23, 2024

1.8 years ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Phi-3.5-vision-instruct's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Phi-3.5-vision-instruct's cutoff date.

Gemini 1.5 Pro

Nov 2023

Phi-3.5-vision-instruct

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (2,097,152 tokens)
Higher MathVista score (68.1% vs 43.9%)
Higher MMMU score (65.9% vs 43.0%)
Microsoft
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Microsoft
Phi-3.5-vision-instruct

FAQ

Common questions about Gemini 1.5 Pro vs Phi-3.5-vision-instruct.

Which is better, Gemini 1.5 Pro or Phi-3.5-vision-instruct?

Gemini 1.5 Pro significantly outperforms across most benchmarks. Gemini 1.5 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 1.5 Pro compare to Phi-3.5-vision-instruct in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. 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 1.5 Pro and Phi-3.5-vision-instruct?

Gemini 1.5 Pro supports 2.1M 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 1.5 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 1.5 Pro and Phi-3.5-vision-instruct?

Gemini 1.5 Pro is developed by Google and Phi-3.5-vision-instruct is developed by Microsoft.

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