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

Gemini 1.5 Flash
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 2024, it represents Google'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.

Gemini 1.5 Flash
2024-05-01

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

Gemini 1.5 Flash

Granite 3.3 8B Instruct
Average performance across 4 common benchmarks

Gemini 1.5 Flash

Granite 3.3 8B Instruct
Performance comparison across key benchmark categories

Gemini 1.5 Flash

Granite 3.3 8B Instruct
Gemini 1.5 Flash
2023-11-01
Granite 3.3 8B Instruct
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash

Granite 3.3 8B Instruct

Gemini 1.5 Flash

Granite 3.3 8B Instruct