Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 38.9% higher average benchmark score. Both models have similar pricing. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek'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.
3 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Cost per million tokens (USD)
DeepSeek R1 Distill Llama 70B
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 16 common benchmarks
DeepSeek R1 Distill Llama 70B
Llama 3.2 90B Instruct
Available providers and their performance metrics
DeepSeek R1 Distill Llama 70B
DeepInfra
Llama 3.2 90B Instruct
DeepSeek R1 Distill Llama 70B
Llama 3.2 90B Instruct
DeepSeek R1 Distill Llama 70B
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together