Model Comparison

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

Comparing GPT-4 Turbo and Phi-3.5-vision-instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-4 Turbo and Phi-3.5-vision-instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Mar 31 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Microsoft
Phi-3.5-vision-instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Tue Mar 31 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-3.5-vision-instruct supports multimodal inputs, whereas GPT-4 Turbo does not.

Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4 Turbo

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 Turbo 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-4 Turbo

Proprietary

Closed source

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Phi-3.5-vision-instruct was released on 2024-08-23.

Phi-3.5-vision-instruct is 5 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.0 years ago

Phi-3.5-vision-instruct

Aug 23, 2024

1.6 years ago

4mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Phi-3.5-vision-instruct's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Phi-3.5-vision-instruct's cutoff date.

GPT-4 Turbo

Dec 2023

Phi-3.5-vision-instruct

—

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Microsoft
Supports multimodal inputs
Has open weights

Detailed Comparison

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

FAQ

Common questions about GPT-4 Turbo vs Phi-3.5-vision-instruct

GPT-4 Turbo (OpenAI) and Phi-3.5-vision-instruct (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.
GPT-4 Turbo 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.
Key differences include multimodal support (no vs yes), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
GPT-4 Turbo is developed by OpenAI and Phi-3.5-vision-instruct is developed by Microsoft.