Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct is $1.63 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Both models have their strengths depending on your specific coding needs.
Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
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.
6 months newer

Llama 3.1 405B Instruct
Meta
2024-07-23

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

Llama 3.1 405B Instruct

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

Llama 3.1 405B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic

Llama 3.1 405B Instruct

Phi-4-multimodal-instruct

Llama 3.1 405B Instruct

Phi-4-multimodal-instruct
Lambda
Replicate
Together

Phi-4-multimodal-instruct
DeepInfra