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.

Grok-2 mini
xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.0% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.

Grok-2 mini
xAI
2024-08-13

Gemini 2.0 Flash-Lite
2025-02-05
5 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite

Grok-2 mini
Average performance across 4 common benchmarks

Gemini 2.0 Flash-Lite

Grok-2 mini
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

Grok-2 mini
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

Grok-2 mini

Gemini 2.0 Flash-Lite

Grok-2 mini