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

Llama 3.1 8B Instruct
Meta
Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Phi-3.5-vision-instruct
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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 Microsoft's latest advancement in AI technology.

Llama 3.1 8B Instruct
Meta
2024-07-23

Phi-3.5-vision-instruct
Microsoft
2024-08-23
1 month newer
Performance Metrics
Context window and performance specifications

Llama 3.1 8B Instruct

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

Llama 3.1 8B Instruct

Phi-3.5-vision-instruct
Llama 3.1 8B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 8B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Phi-3.5-vision-instruct

Llama 3.1 8B Instruct

Phi-3.5-vision-instruct