Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 9.0% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Llama 3.2 11B Instruct. Llama 3.2 11B Instruct is $1.17 cheaper per million tokens. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 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-V3.1
DeepSeek
2025-01-10
Cost per million tokens (USD)
DeepSeek-V3.1
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 26 common benchmarks
DeepSeek-V3.1
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Llama 3.2 11B Instruct
DeepSeek-V3.1
Llama 3.2 11B Instruct
DeepSeek-V3.1
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together