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

Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 4.0 Tiny Preview
IBM
IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

IBM Granite 4.0 Tiny Preview
IBM
2025-05-02

Gemini 2.5 Flash-Lite
2025-06-17
1 month newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

IBM Granite 4.0 Tiny Preview
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite

IBM Granite 4.0 Tiny Preview
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

IBM Granite 4.0 Tiny Preview

Gemini 2.5 Flash-Lite

IBM Granite 4.0 Tiny Preview