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o3 vs Phi 4 (Comparative Analysis)

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Comparative Analysis: o3 vs. Phi 4
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Overview

Phi 4 was released 3 months before o3.
o3o3
Phi 4Phi 4
Model Provider
The organization behind this AI's development
OpenAI logoOpenAI
Microsoft logoMicrosoft
Input Context Window
Maximum input tokens this model can process at once
200K
tokens
16.4K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
100K
tokens
Not specified
tokens
Release Date
When this model first became publicly available
April 16th, 2025
January 10th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
o3
Phi 4
Input Types
Supported input formats
🖼️Image📝Text📁File
📝Text
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
GPTOther
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable on HuggingFace →

Pricing

o3 is roughly 33.3x more expensive compared to Phi 4 for input tokens and roughly 57.1x more expensive for output tokens.
o3o3
Phi 4Phi 4
Input Token Cost
Cost per million input tokens
$2.00
per million tokens
$0.06
per million tokens
Output Token Cost
Cost per million outut tokens
$8.00
per million tokens
$0.14
per million tokens

Benchmarks

Compare relevant benchmarks between o3 and Phi 4.
o3o3
Phi 4Phi 4
MMLU
Measures knowledge across 57 subjects like law, math, history, and science
Benchmark not available.
Benchmark not available.
MMMU
Measures understanding of combined text and images across various domains
Benchmark not available.
Benchmark not available.
HellaSwag
Measures common sense reasoning by having models complete sentences about everyday situations
Benchmark not available.
Benchmark not available.

At a Glance

Quick overview of what makes o3 and Phi 4 unique.
OpenAI logoo3 by OpenAI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 200K token context window. Reasonably priced at $2.00/M input and $8.00/M output tokens. Includes built-in content moderation for safer outputs. Released April 16th, 2025.
Microsoft logoPhi 4 by Microsoft generates structured data. It can handle standard conversations with its 16.4K token context window. Very affordable at $0.06/M input and $0.14/M output tokens. Released January 10th, 2025.

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