Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 3.9% higher average benchmark score. Llama 3.2 3B Instruct is $0.72 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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.
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 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 2024, it represents Meta's latest advancement in AI technology.
Launched on the same date
Llama 3.2 3B Instruct
Meta
2024-09-25
Llama 3.2 90B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Llama 3.2 3B Instruct
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 24 common benchmarks
Llama 3.2 3B Instruct
Llama 3.2 90B Instruct
Available providers and their performance metrics
Llama 3.2 3B Instruct
DeepInfra
Llama 3.2 90B Instruct
Llama 3.2 3B Instruct
Llama 3.2 90B Instruct
Llama 3.2 3B Instruct
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together