Model Comparison

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

OpenAI

GPT-4.1 nano

OpenAI

GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.

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.

OpenAI

GPT-4o mini

OpenAI

2024-07-18

OpenAI

GPT-4.1 nano

OpenAI

2025-04-14

9 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.1 nano

$0.25 cheaper
Input:$0.10
Output:$0.40
OpenAI

GPT-4o mini

Input:$0.15
Output:$0.60

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M
OpenAI

GPT-4o mini

Max Context:144.4K

Average performance across 4 common benchmarks

OpenAI

GPT-4.1 nano

+0.9%
Average Score:60.5%
OpenAI

GPT-4o mini

Average Score:59.6%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1 nano

code
74.5%
math
56.2%
vision
55.4%
general
32.4%
OpenAI

GPT-4o mini

code
+12.7%
87.2%
math
+15.1%
71.3%
vision
+4.0%
59.4%
general
+20.3%
52.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4o mini

2023-10-01

GPT-4.1 nano

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4.1 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
OpenAI

GPT-4o mini

1 providers

Azure

Throughput: 92 tok/s
Latency: 0.52ms
OpenAI

GPT-4.1 nano

+0.9%
Avg Score:60.5%
Providers:1
OpenAI

GPT-4o mini

Avg Score:59.6%
Providers:1