Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 4.9% higher average benchmark score. Gemini 2.5 Pro is available on 2 providers. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
1 month newer
Granite 3.3 8B Base
IBM
2025-04-16
Gemini 2.5 Pro
2025-05-20
Context window and performance specifications
Average performance across 35 common benchmarks
Gemini 2.5 Pro
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Granite 3.3 8B Base
Gemini 2.5 Pro
Granite 3.3 8B Base
Granite 3.3 8B Base