Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 2.2% higher average benchmark score. Phi-4-multimodal-instruct is $0.60 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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.
Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
4 months newer

Llama 3.2 90B Instruct
Meta
2024-09-25

Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)

Llama 3.2 90B Instruct

Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 7 common benchmarks

Llama 3.2 90B Instruct

Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together

Llama 3.2 90B Instruct

Phi-4-multimodal-instruct

Llama 3.2 90B Instruct

Phi-4-multimodal-instruct

Phi-4-multimodal-instruct
DeepInfra