Model Comparison

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

OpenAI

GPT-4.1 mini

OpenAI

GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.

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-4.1 mini

OpenAI

2025-04-14

OpenAI

GPT-4.1 nano

OpenAI

2025-04-14

0 days newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.1 mini

Input:$0.40
Output:$1.60
OpenAI

GPT-4.1 nano

$1.50 cheaper
Input:$0.10
Output:$0.40

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1 mini

Max Context:1.1M
OpenAI

GPT-4.1 nano

Max Context:1.1M

Average performance across 25 common benchmarks

OpenAI

GPT-4.1 mini

+15.9%
Average Score:52.0%
OpenAI

GPT-4.1 nano

Average Score:36.1%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1 mini

code
+9.6%
84.1%
math
+16.9%
73.1%
vision
+17.3%
72.7%
long_context
35.4%
general
+13.5%
45.9%
OpenAI

GPT-4.1 nano

code
74.5%
math
56.2%
vision
55.4%
long_context
+12.9%
48.3%
general
32.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 mini

2024-05-31

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 mini

2 providers

ZeroEval

Throughput: 150 tok/s
Latency: 5ms

OpenAI

Throughput: 150 tok/s
Latency: 5ms
OpenAI

GPT-4.1 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
OpenAI

GPT-4.1 mini

+15.9%
Avg Score:52.0%
Providers:2
OpenAI

GPT-4.1 nano

Avg Score:36.1%
Providers:1