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

GPT-5 mini
OpenAI
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). 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.

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.

Granite 3.3 8B Instruct
IBM
2025-04-16

GPT-5 mini
OpenAI
2025-08-07
3 months newer
Performance Metrics
Context window and performance specifications

GPT-5 mini

Granite 3.3 8B Instruct
Performance comparison across key benchmark categories

GPT-5 mini

Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
GPT-5 mini
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics

GPT-5 mini
ZeroEval
OpenAI

Granite 3.3 8B Instruct

GPT-5 mini

Granite 3.3 8B Instruct