The AI arena is free today

Open Superagent

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

GPT-4o leads the LLM Stats Score 14.4 to -3.1.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-4o leads the overall LLM Stats Score 14.4 to -3.1, ranking #225 overall.

In the 4 individual benchmarks reported for both models, GPT-4o wins 4; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT-4o

  • overall performance matters — it scores 14.4 and ranks #225 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results

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.

Core performance indexes
14.4
#225
-3.1
#331
16.1
#206
-4.5
#328
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-4o
Phi-3.5-vision-instruct
8.9#128
-3.1#189
12.6#102
-0.6#150
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for GPT-4o · 9 for Phi-3.5-vision-instruct

4 shared

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.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

2.1 years ago

Phi-3.5-vision-instruct

Aug 23, 2024

2.0 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

Judge for yourself.

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

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

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 leads the LLM Stats Score 14.4 to -3.1. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (14.4 vs -3.1), 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.