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

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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.

Granite 3.3 8B Base
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.

Gemini 2.0 Flash Thinking
2025-01-21

Granite 3.3 8B Base
IBM
2025-04-16
2 months newer
Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

Granite 3.3 8B Base
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Granite 3.3 8B Base

Gemini 2.0 Flash Thinking

Granite 3.3 8B Base