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

GPT-4o mini
OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K 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 2024, 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-4o mini
OpenAI
2024-07-18

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

GPT-4o mini

Granite 3.3 8B Base
Average performance across 3 common benchmarks

GPT-4o mini

Granite 3.3 8B Base
Performance comparison across key benchmark categories

GPT-4o mini

Granite 3.3 8B Base
GPT-4o mini
2023-10-01
Granite 3.3 8B Base
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4o mini
Azure

Granite 3.3 8B Base

GPT-4o mini

Granite 3.3 8B Base