Model Comparison

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

OpenAI

GPT-4o

OpenAI

GPT-4o is a multimodal language model developed by OpenAI. The model shows competitive results across 32 benchmarks. It excels particularly in AI2D (94.2%), DocVQA (92.8%), ChartQA (85.7%). The model shows particular specialization in vision tasks with an average performance of 82.5%. It supports a 144K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.

OpenAI

GPT-4o

OpenAI

2024-08-06

Microsoft

Phi 4

Microsoft

2024-12-12

4 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4o

Input:$2.50
Output:$10.00
Microsoft

Phi 4

$12.29 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4o

Larger context
Max Context:144.4K
Microsoft

Phi 4

Max Context:32.0K
Parameters:14.7B

Average performance across 5 common benchmarks

OpenAI

GPT-4o

+14.5%
Average Score:69.9%
Microsoft

Phi 4

Average Score:55.5%

Performance comparison across key benchmark categories

OpenAI

GPT-4o

code
+4.9%
81.0%
math
61.4%
general
52.1%
Microsoft

Phi 4

code
76.1%
math
+19.1%
80.5%
general
+8.1%
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-4o

3 providers

Azure

Throughput: 99 tok/s
Latency: 0.53ms

ZeroEval

Throughput: 99 tok/s
Latency: 0.53ms

OpenAI

Throughput: 132 tok/s
Latency: 0.5ms
Microsoft

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
OpenAI

GPT-4o

+14.5%
Avg Score:69.9%
Providers:3
Microsoft

Phi 4

Avg Score:55.5%
Providers:1