Comprehensive side-by-side LLM comparison
Phi 4 leads with 9.3% higher average benchmark score. Llama 3.3 70B Instruct offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Llama 3.3 70B Instruct is available on 9 providers. Overall, Phi 4 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 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 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.
6 days newer
Llama 3.3 70B Instruct
Meta
2024-12-06
Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Llama 3.3 70B Instruct
Phi 4
Context window and performance specifications
Average performance across 15 common benchmarks
Llama 3.3 70B Instruct
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
Llama 3.3 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.3 70B Instruct
Phi 4
Llama 3.3 70B Instruct
Phi 4
Hyperbolic
Lambda
Sambanova
Together
Phi 4
DeepInfra