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

GPT-4.5
OpenAI
GPT-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 64.1% across 26 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). The model shows particular specialization in code tasks with an average performance of 88.1%. It supports a 132K 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 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-4.5
OpenAI
2025-02-27

Granite 3.3 8B Instruct
IBM
2025-04-16
1 month newer
Performance Metrics
Context window and performance specifications

GPT-4.5

Granite 3.3 8B Instruct
Average performance across 5 common benchmarks

GPT-4.5

Granite 3.3 8B Instruct
Performance comparison across key benchmark categories

GPT-4.5

Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.5
OpenAI

Granite 3.3 8B Instruct

GPT-4.5

Granite 3.3 8B Instruct