Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 15.7% higher average benchmark score. Overall, Granite 3.3 8B Base is the stronger choice for coding tasks.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 2025, 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.
2 months newer
Gemini 2.0 Flash-Lite
2025-02-05
Granite 3.3 8B Base
IBM
2025-04-16
Context window and performance specifications
Average performance across 33 common benchmarks
Gemini 2.0 Flash-Lite
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Granite 3.3 8B Base
Gemini 2.0 Flash-Lite
Granite 3.3 8B Base
Gemini 2.0 Flash-Lite
Granite 3.3 8B Base