Model Comparison

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

OpenAI

GPT-4.1

OpenAI

GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). 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-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.

OpenAI

GPT-4.1

OpenAI

2025-04-14

OpenAI

GPT-5 nano

OpenAI

2025-08-07

3 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.1

Input:$2.00
Output:$8.00
OpenAI

GPT-5 nano

$9.55 cheaper
Input:$0.05
Output:$0.40

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1

Larger context
Max Context:1.1M
OpenAI

GPT-5 nano

Max Context:528.0K

Average performance across 4 common benchmarks

OpenAI

GPT-4.1

Average Score:36.8%
OpenAI

GPT-5 nano

+23.4%
Average Score:60.2%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1

math
+62.6%
72.2%
general
53.4%
OpenAI

GPT-5 nano

math
9.6%
general
+6.7%
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

GPT-4.1

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-4.1

1 providers

OpenAI

Throughput: 100 tok/s
Latency: 10ms
OpenAI

GPT-5 nano

2 providers

ZeroEval

Throughput: 500 tok/s
Latency: 0.3ms

OpenAI

Throughput: 500 tok/s
Latency: 0.3ms
OpenAI

GPT-4.1

Avg Score:36.8%
Providers:1
OpenAI

GPT-5 nano

+23.4%
Avg Score:60.2%
Providers:2