Comprehensive side-by-side LLM comparison
Grok-2 leads with 4.3% higher average benchmark score. Gemini 2.5 Flash-Lite offers 978.1K more tokens in context window than Grok-2. Gemini 2.5 Flash-Lite is $11.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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.
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). 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 2024, it represents xAI's latest advancement in AI technology.
10 months newer
Grok-2
xAI
2024-08-13
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
Grok-2
Context window and performance specifications
Average performance across 19 common benchmarks
Gemini 2.5 Flash-Lite
Grok-2
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Grok-2
Gemini 2.5 Flash-Lite
Grok-2
Gemini 2.5 Flash-Lite
Grok-2
xAI