Model Comparison

Gemini 2.5 Flash vs Phi-3.5-vision-instructWhich is better in 2026?

Gemini 2.5 Flash significantly outperforms across most benchmarks.

Verdict: Gemini 2.5 Flash vs Phi-3.5-vision-instruct — which is better?

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

Choose Gemini 2.5 Flash if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped May 2025

Choose Phi-3.5-vision-instruct if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

Gemini 2.5 Flash significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

Google
Gemini 2.5 Flash
Input1,048,576 tokens
Output65,536 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Flash 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 Flash

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash 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 Flash

Proprietary

Closed source

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

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

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

Gemini 2.5 Flash

May 20, 2025

1.1 years ago

9mo newer
Phi-3.5-vision-instruct

Aug 23, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash 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 Flash'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 Flash

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 (79.7% vs 43.0%)
Microsoft
Has open weights
GoogleGemini 2.5 Flash
MicrosoftPhi-3.5-vision-instruct
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.5 Flash and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

Gemini 2.5 Flash
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash
Microsoft
Phi-3.5-vision-instruct

FAQ

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

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

Gemini 2.5 Flash significantly outperforms across most benchmarks. Gemini 2.5 Flash 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 Flash compare to Phi-3.5-vision-instruct in benchmarks?

Gemini 2.5 Flash scores Global-MMLU-Lite: 88.4%, AIME 2024: 88.0%, FACTS Grounding: 85.3%, GPQA: 82.8%, MMMU: 79.7%. 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 Flash and Phi-3.5-vision-instruct?

Gemini 2.5 Flash 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 Flash 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 Flash and Phi-3.5-vision-instruct?

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

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