Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 12.9% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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.
3 months newer

Llama 3.2 90B Instruct
Meta
2024-09-25

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Context window and performance specifications
Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

Llama 3.2 90B Instruct
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

Llama 3.2 90B Instruct
Bedrock

DeepSeek R1 Distill Qwen 1.5B

Llama 3.2 90B Instruct

DeepSeek R1 Distill Qwen 1.5B

Llama 3.2 90B Instruct
DeepInfra
Fireworks
Hyperbolic
Together