Comprehensive side-by-side LLM comparison
Granite 3.3 8B Instruct leads with 4.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 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%). 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.
4 months newer
Gemini 2.0 Flash
2024-12-01
Granite 3.3 8B Instruct
IBM
2025-04-16
Context window and performance specifications
Average performance across 27 common benchmarks
Gemini 2.0 Flash
Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Granite 3.3 8B Instruct
Gemini 2.0 Flash
Granite 3.3 8B Instruct
Gemini 2.0 Flash
Granite 3.3 8B Instruct