Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 48.2% higher average benchmark score. DeepSeek-R1-0528 offers 6.1K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $2.62 cheaper per million tokens. DeepSeek-R1-0528 is available on 3 providers. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-0528 represents a specific release iteration of the DeepSeek-R1 model, developed to incorporate refinements and improvements from ongoing training. Built to provide enhanced reasoning capabilities based on accumulated insights, it continues the evolution of DeepSeek's reasoning-focused architecture.
Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
8 months newer

Llama 3.2 3B Instruct
Meta
2024-09-25

DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)

DeepSeek-R1-0528

Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

DeepSeek-R1-0528

Llama 3.2 3B Instruct
Available providers and their performance metrics

DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita

DeepSeek-R1-0528

Llama 3.2 3B Instruct

DeepSeek-R1-0528

Llama 3.2 3B Instruct

Llama 3.2 3B Instruct
DeepInfra