Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 23.4% higher average benchmark score. Gemma 3 27B offers 6.1K more tokens in context window than Llama 3.2 3B Instruct. Both models have similar pricing. Gemma 3 27B supports multimodal inputs. Overall, Gemma 3 27B is the stronger choice for coding tasks.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 27B
2025-03-12
Cost per million tokens (USD)
Gemma 3 27B
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 37 common benchmarks
Gemma 3 27B
Llama 3.2 3B Instruct
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Llama 3.2 3B Instruct
Gemma 3 27B
Llama 3.2 3B Instruct
Llama 3.2 3B Instruct
DeepInfra