Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 3.6% higher average benchmark score. 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-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). 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.
22 days newer
Gemini 2.5 Flash-Lite
2025-06-17
Grok-4 Heavy
xAI
2025-07-09
Context window and performance specifications
Average performance across 15 common benchmarks
Gemini 2.5 Flash-Lite
Grok-4 Heavy
Grok-4 Heavy
2024-12-31
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Grok-4 Heavy
Gemini 2.5 Flash-Lite
Grok-4 Heavy
Gemini 2.5 Flash-Lite
Grok-4 Heavy