Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 32.4% higher average benchmark score. Both models have similar pricing. Llama 3.3 70B Instruct is available on 9 providers. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). It supports a 256K 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-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.
3 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Llama 3.3 70B Instruct
Meta
2024-12-06
Cost per million tokens (USD)
Llama 3.3 70B Instruct
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 34 common benchmarks
Llama 3.3 70B Instruct
Phi-3.5-mini-instruct
Available providers and their performance metrics
Llama 3.3 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.3 70B Instruct
Phi-3.5-mini-instruct
Llama 3.3 70B Instruct
Phi-3.5-mini-instruct
Hyperbolic
Lambda
Sambanova
Together
Phi-3.5-mini-instruct
Azure