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

Gemini 2.0 Flash-Lite
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.

Granite 3.3 8B Instruct
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%). The model shows particular specialization in code tasks with an average performance of 78.3%. 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-Lite
2025-02-05

Granite 3.3 8B Instruct
IBM
2025-04-16
2 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite

Granite 3.3 8B Instruct
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

Granite 3.3 8B Instruct

Gemini 2.0 Flash-Lite

Granite 3.3 8B Instruct