Model Comparison

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

OpenAI

GPT-5 nano

OpenAI

GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. 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-5 nano

OpenAI

2025-08-07

7 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-5 nano

Input:$0.05
Output:$0.40
Microsoft

Phi 4

$0.24 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

OpenAI

GPT-5 nano

Larger context
Max Context:528.0K
Microsoft

Phi 4

Max Context:32.0K
Parameters:14.7B

Average performance across 1 common benchmarks

OpenAI

GPT-5 nano

+15.1%
Average Score:71.2%
Microsoft

Phi 4

Average Score:56.1%

Performance comparison across key benchmark categories

OpenAI

GPT-5 nano

math
9.6%
general
60.2%
Microsoft

Phi 4

math
+70.9%
80.5%
general
+0.0%
60.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5 nano

2024-05-30

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-5 nano

2 providers

ZeroEval

Throughput: 500 tok/s
Latency: 0.3ms

OpenAI

Throughput: 500 tok/s
Latency: 0.3ms
Microsoft

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
OpenAI

GPT-5 nano

+15.1%
Avg Score:71.2%
Providers:2
Microsoft

Phi 4

Avg Score:56.1%
Providers:1