Model Comparison

GPT-4o vs Phi-3.5-vision-instruct

GPT-4o significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4o outperforms in 4 benchmarks (AI2D, ChartQA, MathVista, MMMU), while Phi-3.5-vision-instruct is better at 0 benchmarks.

GPT-4o significantly outperforms across most benchmarks.

Tue May 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Tue May 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o and Phi-3.5-vision-instruct support multimodal inputs.

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

GPT-4o

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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.

GPT-4o

Proprietary

Closed source

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Phi-3.5-vision-instruct was released on 2024-08-23.

Phi-3.5-vision-instruct is 1 month newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.7 years ago

Phi-3.5-vision-instruct

Aug 23, 2024

1.7 years ago

2w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Higher AI2D score (94.2% vs 78.1%)
Higher ChartQA score (85.7% vs 81.8%)
Higher MathVista score (61.4% vs 43.9%)
Higher MMMU score (72.2% vs 43.0%)
Microsoft
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
Microsoft
Phi-3.5-vision-instruct

FAQ

Common questions about GPT-4o vs Phi-3.5-vision-instruct.

Which is better, GPT-4o or Phi-3.5-vision-instruct?

GPT-4o significantly outperforms across most benchmarks. GPT-4o is made by OpenAI 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 GPT-4o compare to Phi-3.5-vision-instruct in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. 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 GPT-4o and Phi-3.5-vision-instruct?

GPT-4o supports 128K 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 GPT-4o 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 GPT-4o and Phi-3.5-vision-instruct?

GPT-4o is developed by OpenAI and Phi-3.5-vision-instruct is developed by Microsoft.