Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

OpenAI

GPT-4.5

OpenAI

GPT-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 64.1% across 26 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). The model shows particular specialization in code tasks with an average performance of 88.1%. It supports a 132K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Microsoft

Phi 4

Microsoft

Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi 4

Microsoft

2024-12-12

OpenAI

GPT-4.5

OpenAI

2025-02-27

2 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.5

Input:$75.00
Output:$150.00
Microsoft

Phi 4

$224.79 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.5

Larger context
Max Context:132.1K
Microsoft

Phi 4

Max Context:32.0K
Parameters:14.7B

Average performance across 5 common benchmarks

OpenAI

GPT-4.5

+21.9%
Average Score:79.8%
Microsoft

Phi 4

Average Score:57.9%

Performance comparison across key benchmark categories

OpenAI

GPT-4.5

code
+12.0%
88.1%
math
+4.2%
84.7%
general
59.3%
Microsoft

Phi 4

code
76.1%
math
80.5%
general
+0.9%
60.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4.5

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
Microsoft

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
OpenAI

GPT-4.5

+21.9%
Avg Score:79.8%
Providers:1
Microsoft

Phi 4

Avg Score:57.9%
Providers:1