Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 34.3% higher average benchmark score. DeepSeek-R1-0528 offers 6.1K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $1.90 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 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 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
8 months newer

Llama 3.2 90B Instruct
Meta
2024-09-25

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

DeepSeek-R1-0528

Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

DeepSeek-R1-0528

Llama 3.2 90B Instruct
Available providers and their performance metrics

DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita

DeepSeek-R1-0528

Llama 3.2 90B Instruct

DeepSeek-R1-0528

Llama 3.2 90B Instruct

Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together