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

GPT-4 Turbo leads the LLM Stats Score 9.0 to -3.4.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-4 Turbo leads the overall LLM Stats Score 9.0 to -3.4, ranking #270 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-4 Turbo

  • overall performance matters — it scores 9.0 and ranks #270 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

Choose Phi-3.5-vision-instruct

  • you want the most recent training data — it shipped Aug 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-4 Turbo
OpenAI
Phi-3.5-vision-instruct
Microsoft
Core performance indexes
LLM Stats Score
9.0
#270
-3.4
#344
Reasoning
9.2
#266
-4.8
#344
Cost, coverage & limits
Benchmark wins
—
—
Input price
$10.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
128,000
—

Individual benchmarks

6 reported for GPT-4 Turbo · 9 for Phi-3.5-vision-instruct

No common benchmarks found

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

Human preference

Blind head-to-head votes and playground preference scores

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
Wed Sep 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

2.4 years ago

Phi-3.5-vision-instruct

Aug 23, 2024

2.1 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

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-4 Turbo and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

GPT-4 Turbo
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground

FAQ

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

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

GPT-4 Turbo leads the LLM Stats Score 9.0 to -3.4. GPT-4 Turbo is made by OpenAI and Phi-3.5-vision-instruct is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4 Turbo compare to Phi-3.5-vision-instruct in benchmarks?

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%.

What are the context window sizes for GPT-4 Turbo and Phi-3.5-vision-instruct?

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.

What are the main differences between GPT-4 Turbo and Phi-3.5-vision-instruct?

Key differences include LLM Stats Score (9.0 vs -3.4), multimodal support (no vs yes), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Phi-3.5-vision-instruct?

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

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