Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 26.0% higher average benchmark score. Gemini 2.0 Flash-Lite offers 920.8K more tokens in context window than Grok-3 Mini. Both models have similar pricing. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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.
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%). 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.
12 days newer
Gemini 2.0 Flash-Lite
2025-02-05
Grok-3 Mini
xAI
2025-02-17
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
Grok-3 Mini
Context window and performance specifications
Average performance across 16 common benchmarks
Gemini 2.0 Flash-Lite
Grok-3 Mini
Gemini 2.0 Flash-Lite
2024-06-01
Grok-3 Mini
2024-11-17
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Grok-3 Mini
Gemini 2.0 Flash-Lite
Grok-3 Mini
Gemini 2.0 Flash-Lite
Grok-3 Mini
xAI