Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Llama 3.2 90B Instruct
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.

Phi 4
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Llama 3.2 90B Instruct
Meta
2024-09-25

Phi 4
Microsoft
2024-12-12
2 months newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.2 90B Instruct

Phi 4
Performance Metrics
Context window and performance specifications

Llama 3.2 90B Instruct

Phi 4
Average performance across 4 common benchmarks

Llama 3.2 90B Instruct

Phi 4
Performance comparison across key benchmark categories

Llama 3.2 90B Instruct

Phi 4
Phi 4
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock

Phi 4
DeepInfra

Llama 3.2 90B Instruct

Phi 4