Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct leads with 18.1% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Llama 3.1 8B Instruct is the stronger choice for coding tasks.
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.
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%). 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.
1 month newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Context window and performance specifications
Average performance across 27 common benchmarks
Llama 3.1 8B Instruct
Phi-3.5-vision-instruct
Llama 3.1 8B Instruct
2023-12-31
Available providers and their performance metrics
Llama 3.1 8B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.1 8B Instruct
Phi-3.5-vision-instruct
Llama 3.1 8B Instruct
Phi-3.5-vision-instruct
Hyperbolic
Lambda
Sambanova
Together
Phi-3.5-vision-instruct