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 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.2 3B Instruct
Meta
2024-09-25
Gemma 3 4B
2025-03-12
5 months newer
Pricing Comparison
Cost per million tokens (USD)
Gemma 3 4B
Llama 3.2 3B Instruct
Performance Metrics
Context window and performance specifications
Gemma 3 4B
Llama 3.2 3B Instruct
Average performance across 4 common benchmarks
Gemma 3 4B
Llama 3.2 3B Instruct
Performance comparison across key benchmark categories
Gemma 3 4B
Llama 3.2 3B Instruct
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Llama 3.2 3B Instruct
DeepInfra
Gemma 3 4B
Llama 3.2 3B Instruct