Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 49.7% higher average benchmark score. Gemini 2.0 Flash-Lite offers 790.8K more tokens in context window than Grok Code Fast 1. Gemini 2.0 Flash-Lite is $1.33 cheaper per million tokens. Gemini 2.0 Flash-Lite supports multimodal inputs. 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 Code Fast 1 is a language model developed by xAI. It achieves strong performance with an average score of 70.8% across 1 benchmarks. Notable strengths include SWE-Bench Verified (70.8%). It supports a 266K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents xAI's latest advancement in AI technology.
6 months newer
Gemini 2.0 Flash-Lite
2025-02-05
Grok Code Fast 1
xAI
2025-08-28
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
Grok Code Fast 1
Context window and performance specifications
Average performance across 14 common benchmarks
Gemini 2.0 Flash-Lite
Grok Code Fast 1
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Grok Code Fast 1
Gemini 2.0 Flash-Lite
Grok Code Fast 1
Gemini 2.0 Flash-Lite
Grok Code Fast 1
xAI