Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. 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.
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Gemini 2.5 Pro
2025-05-20
2 months newer
Performance Metrics
Context window and performance specifications
Gemini 2.5 Pro
Llama 3.1 Nemotron Nano 8B V1
Average performance across 2 common benchmarks
Gemini 2.5 Pro
Llama 3.1 Nemotron Nano 8B V1
Performance comparison across key benchmark categories
Gemini 2.5 Pro
Llama 3.1 Nemotron Nano 8B V1
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Gemini 2.5 Pro
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics
Gemini 2.5 Pro
Llama 3.1 Nemotron Nano 8B V1
Gemini 2.5 Pro
Llama 3.1 Nemotron Nano 8B V1