Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. 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.
Gemma 3 4B
2025-03-12
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
6 days newer
Performance Metrics
Context window and performance specifications
Gemma 3 4B
Llama 3.1 Nemotron Nano 8B V1
Average performance across 3 common benchmarks
Gemma 3 4B
Llama 3.1 Nemotron Nano 8B V1
Performance comparison across key benchmark categories
Gemma 3 4B
Llama 3.1 Nemotron Nano 8B V1
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Llama 3.1 Nemotron Nano 8B V1
Gemma 3 4B
Llama 3.1 Nemotron Nano 8B V1