Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 14.7% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Llama 3.2 3B Instruct. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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.
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.
5 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 37 common benchmarks
Gemma 3 4B
Llama 3.2 3B Instruct
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Llama 3.2 3B Instruct
Gemma 3 4B
Llama 3.2 3B Instruct
Gemma 3 4B
Llama 3.2 3B Instruct
DeepInfra