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-4.5

OpenAI

GPT-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 64.1% across 26 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). The model shows particular specialization in code tasks with an average performance of 88.1%. It supports a 132K 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 2025, it represents OpenAI's latest advancement in AI technology.

OpenAI

GPT-4.5

OpenAI

2025-02-27

OpenAI

GPT-4.1 mini

OpenAI

2025-04-14

1 month newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.1 mini

$223.00 cheaper
Input:$0.40
Output:$1.60
OpenAI

GPT-4.5

Input:$75.00
Output:$150.00

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1 mini

Larger context
Max Context:1.1M
OpenAI

GPT-4.5

Max Context:132.1K

Average performance across 21 common benchmarks

OpenAI

GPT-4.1 mini

Average Score:56.8%
OpenAI

GPT-4.5

+8.1%
Average Score:64.9%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1 mini

code
84.1%
math
73.1%
vision
72.7%
general
45.9%
agents
45.9%
OpenAI

GPT-4.5

code
+4.0%
88.1%
math
+11.6%
84.7%
vision
+2.5%
75.2%
general
+13.4%
59.3%
agents
+13.3%
59.2%
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

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-4.5

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
OpenAI

GPT-4.1 mini

Avg Score:56.8%
Providers:2
OpenAI

GPT-4.5

+8.1%
Avg Score:64.9%
Providers:1