Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 26.0% higher average benchmark score. Phi-3.5-mini-instruct offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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.
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
Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Phi 4
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 37 common benchmarks
Phi 4
Phi-3.5-mini-instruct
Phi 4
2024-06-01
Available providers and their performance metrics
Phi 4
DeepInfra
Phi-3.5-mini-instruct
Phi 4
Phi-3.5-mini-instruct
Phi 4
Phi-3.5-mini-instruct
Azure