Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 5.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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.
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.
11 months newer
Gemini 1.5 Flash
2024-05-01
Granite 3.3 8B Base
IBM
2025-04-16
Context window and performance specifications
Average performance across 37 common benchmarks
Gemini 1.5 Flash
Granite 3.3 8B Base
Gemini 1.5 Flash
2023-11-01
Granite 3.3 8B Base
2024-04-01
Available providers and their performance metrics
Gemini 1.5 Flash
Granite 3.3 8B Base
Gemini 1.5 Flash
Granite 3.3 8B Base
Gemini 1.5 Flash
Granite 3.3 8B Base