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

OpenAI

GPT-4o is a multimodal language model developed by OpenAI. The model shows competitive results across 32 benchmarks. It excels particularly in AI2D (94.2%), DocVQA (92.8%), ChartQA (85.7%). The model shows particular specialization in vision tasks with an average performance of 82.5%. It supports a 144K token context window for handling large documents. The model is available through 3 API providers. 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

OpenAI

2024-08-06

OpenAI

GPT-4.1 nano

OpenAI

2025-04-14

8 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.1 nano

$12.00 cheaper
Input:$0.10
Output:$0.40
OpenAI

GPT-4o

Input:$2.50
Output:$10.00

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M
OpenAI

GPT-4o

Max Context:144.4K

Average performance across 20 common benchmarks

OpenAI

GPT-4.1 nano

Average Score:39.1%
OpenAI

GPT-4o

+15.7%
Average Score:54.8%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1 nano

vision
55.4%
code
74.5%
math
56.2%
general
32.4%
agents
18.3%
OpenAI

GPT-4o

vision
+27.1%
82.5%
code
+6.5%
81.0%
math
+5.2%
61.4%
general
+19.7%
52.1%
agents
+33.3%
51.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

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

3 providers

Azure

Throughput: 99 tok/s
Latency: 0.53ms

ZeroEval

Throughput: 99 tok/s
Latency: 0.53ms

OpenAI

Throughput: 132 tok/s
Latency: 0.5ms
OpenAI

GPT-4.1 nano

Avg Score:39.1%
Providers:1
OpenAI

GPT-4o

+15.7%
Avg Score:54.8%
Providers:3