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-3.5-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. 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.

Phi-3.5-mini-instruct
Microsoft
2024-08-23

Llama 3.2 90B Instruct
Meta
2024-09-25
1 month newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.2 90B Instruct

Phi-3.5-mini-instruct
Performance Metrics
Context window and performance specifications

Llama 3.2 90B Instruct

Phi-3.5-mini-instruct
Average performance across 4 common benchmarks

Llama 3.2 90B Instruct

Phi-3.5-mini-instruct
Performance comparison across key benchmark categories

Llama 3.2 90B Instruct

Phi-3.5-mini-instruct
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock

Phi-3.5-mini-instruct
Azure

Llama 3.2 90B Instruct

Phi-3.5-mini-instruct