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

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.

Granite 3.3 8B Base
IBM
Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

GPT-4.1 nano
OpenAI
2025-04-14

Granite 3.3 8B Base
IBM
2025-04-16
2 days newer
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

Granite 3.3 8B Base
Average performance across 3 common benchmarks

GPT-4.1 nano

Granite 3.3 8B Base
Performance comparison across key benchmark categories

GPT-4.1 nano

Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Granite 3.3 8B Base

GPT-4.1 nano

Granite 3.3 8B Base