Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 6.1K more tokens in context window than Llama 3.2 11B Instruct. Llama 3.2 11B Instruct is $2.64 cheaper per million tokens. Llama 3.2 11B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 API providers. 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 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.
3 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
DeepSeek-R1
DeepSeek
2025-01-20
Cost per million tokens (USD)
DeepSeek-R1
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 11 common benchmarks
DeepSeek-R1
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics
DeepSeek-R1
DeepInfra
DeepSeek
Fireworks
Together
ZeroEval
DeepSeek-R1
Llama 3.2 11B Instruct
DeepSeek-R1
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together