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 Instruct
IBM
Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). The model shows particular specialization in code tasks with an average performance of 78.3%. 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 Instruct
IBM
2025-04-16
2 days newer
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

Granite 3.3 8B Instruct
Average performance across 3 common benchmarks

GPT-4.1 nano

Granite 3.3 8B Instruct
Performance comparison across key benchmark categories

GPT-4.1 nano

Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
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 Instruct

GPT-4.1 nano

Granite 3.3 8B Instruct