Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 3.5% higher average benchmark score. Gemini 2.5 Flash-Lite supports multimodal inputs. 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.
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
2 months newer
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Gemini 2.5 Flash-Lite
2025-06-17
Context window and performance specifications
Average performance across 16 common benchmarks
Gemini 2.5 Flash-Lite
Llama 3.1 Nemotron Ultra 253B v1
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Llama 3.1 Nemotron Ultra 253B v1
Gemini 2.5 Flash-Lite
Llama 3.1 Nemotron Ultra 253B v1
Gemini 2.5 Flash-Lite
Llama 3.1 Nemotron Ultra 253B v1