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-3 Mini
xAI
Grok-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). The model shows particular specialization in general tasks with an average performance of 90.2%. It supports a 136K token context window for handling large documents. 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 xAI's latest advancement in AI technology.

Gemini 2.0 Flash-Lite
2025-02-05

Grok-3 Mini
xAI
2025-02-17
12 days newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.0 Flash-Lite

Grok-3 Mini
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite

Grok-3 Mini
Average performance across 1 common benchmarks

Gemini 2.0 Flash-Lite

Grok-3 Mini
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

Grok-3 Mini
Gemini 2.0 Flash-Lite
2024-06-01
Grok-3 Mini
2024-11-17
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

Grok-3 Mini
xAI

Gemini 2.0 Flash-Lite

Grok-3 Mini