Last refreshed 2026-10-05. Next refresh: weekly.
Why use Phi-3 Mini 4k on NVIDIA NIM?
NVIDIA NIM offers Phi-3 Mini 4k. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Phi-3 Mini 4k across 4 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: microsoft/phi-3-mini-4k-instructmicrosoft/phi-3-mini-4k-instructRequest example
microsoft/phi-3-mini-4k-instruct.Gotchas
- Use provider model ID "microsoft/phi-3-mini-4k-instruct", not the LLMReference slug "phi-3-mini-4k".
Compare Phi-3 Mini 4k Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Microsoft Foundry | $0.28 | $0.84 |
| NVIDIA NIM | — | — |
| Baseten API | — | — |
| Replicate API | $0.05 | $0.25 |
Capabilities
No model capability flags are currently sourced.
About Phi-3 Mini 4k
The Phi-3 Mini-4K-Instruct model by Microsoft is an advanced, lightweight language model boasting 3.8 billion parameters, optimized for environments with limited computational resources. It excels in various natural language processing tasks, especially in reasoning, text generation, and maintaining multi-turn conversations. Trained on a mix of synthetic and high-quality data, the model is tailored for effective instruction-following. Despite its capabilities, it has limitations in factual knowledge and multilingual support, often requiring external resources to enhance accuracy. The model is ideal for commercial and research applications that demand efficient processing, such as mobile apps and real-time systems.