Model Comparison

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

OpenAI

GPT-4o mini

OpenAI

GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K 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 2024, it represents OpenAI's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. 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 mini

OpenAI

2024-07-18

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

1 month newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4o mini

Input:$0.15
Output:$0.60
Microsoft

Phi-3.5-mini-instruct

$0.55 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4o mini

Max Context:144.4K
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Average performance across 5 common benchmarks

OpenAI

GPT-4o mini

+21.6%
Average Score:73.3%
Microsoft

Phi-3.5-mini-instruct

Average Score:51.7%

Performance comparison across key benchmark categories

OpenAI

GPT-4o mini

code
+21.0%
87.2%
math
+10.4%
71.3%
general
52.7%
Microsoft

Phi-3.5-mini-instruct

code
66.2%
math
60.9%
general
+2.7%
55.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4o mini

2023-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4o mini

1 providers

Azure

Throughput: 92 tok/s
Latency: 0.52ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
OpenAI

GPT-4o mini

+21.6%
Avg Score:73.3%
Providers:1
Microsoft

Phi-3.5-mini-instruct

Avg Score:51.7%
Providers:1