Phi-4 is Microsoft's 14B-parameter dense decoder-only language model, trained on a blend of synthetic data, filtered public web content and academic books and Q&A data with a focus on reasoning. It takes text input and produces text output with a 16K-token context window and is intended primarily for English.
Microsoft
microsoft/ · 2 models
Explore Microsoft models in one place. Compare capabilities, pricing, and privacy across serving providers to find the right fit.
- Models
- 2
- Serving providers
- 2
- Starting input price
- $0.07
- Largest context
- 16K
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2 models
Private|16K context|$0.07/M input|$0.14/M output
Multilingual E5 Large Instruct is a text embedding model from Microsoft researchers, initialized from XLM-RoBERTa-large with 24 layers and 1,024-dimensional embeddings. It covers about 100 languages and takes inputs up to 512 tokens, with each query paired with a one-sentence task instruction to guide retrieval and similarity tasks.
Private|512 context|$0.0125/M input|$0.0125/M output