Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 19.5% higher average benchmark score. Llama 3.1 70B Instruct offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B Instruct is the stronger choice for coding tasks.
Meta
Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). 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.
4 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Llama 3.1 70B Instruct
Phi 4
Context window and performance specifications
Average performance across 25 common benchmarks
Llama 3.1 70B Instruct
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
Llama 3.1 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.1 70B Instruct
Phi 4
Llama 3.1 70B Instruct
Phi 4
Hyperbolic
Lambda
Sambanova
Together
Phi 4
DeepInfra