Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.5 Flash-Lite
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.

Llama 3.1 Nemotron Ultra 253B v1
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.

Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07

Gemini 2.5 Flash-Lite
2025-06-17
2 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

Llama 3.1 Nemotron Ultra 253B v1
Average performance across 3 common benchmarks

Gemini 2.5 Flash-Lite

Llama 3.1 Nemotron Ultra 253B v1
Performance comparison across key benchmark categories

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
Provider Availability & Performance
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