Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 7.1% higher average benchmark score. 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-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
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.
2 months newer

Llama 3.2 90B Instruct
Meta
2024-09-25

DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Context window and performance specifications
Average performance across 6 common benchmarks

DeepSeek VL2 Tiny

Llama 3.2 90B Instruct
Available providers and their performance metrics

DeepSeek VL2 Tiny

Llama 3.2 90B Instruct
Bedrock

DeepSeek VL2 Tiny

Llama 3.2 90B Instruct

DeepSeek VL2 Tiny

Llama 3.2 90B Instruct
DeepInfra
Fireworks
Hyperbolic
Together