Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 20.9% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Llama 3.2 11B Instruct. Llama 3.2 11B Instruct is $1.27 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 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
3 months newer

Llama 3.2 11B Instruct
Meta
2024-09-25

DeepSeek-V3
DeepSeek
2024-12-25
Cost per million tokens (USD)

DeepSeek-V3

Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 2 common benchmarks

DeepSeek-V3

Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Llama 3.2 11B Instruct

DeepSeek-V3

Llama 3.2 11B Instruct

DeepSeek-V3

Llama 3.2 11B Instruct
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