Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 31.3% higher average benchmark score. Gemma 3 27B offers 6.1K more tokens in context window than Llama 3.2 11B Instruct. Both models have similar pricing. Llama 3.2 11B Instruct is available on 6 providers. 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 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
5 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Gemma 3 27B
2025-03-12
Cost per million tokens (USD)
Gemma 3 27B
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 32 common benchmarks
Gemma 3 27B
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Llama 3.2 11B Instruct
Gemma 3 27B
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together