Last refreshed 2026-09-21. Next refresh: weekly.
Why use Phi-3 Mini 128K on NVIDIA NIM?
NVIDIA NIM offers Phi-3 Mini 128K with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Phi-3 Mini 128K across 5 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: phi-3-mini-128kphi-3-mini-128kRequest example
phi-3-mini-128k.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare Phi-3 Mini 128K Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| Baseten API | — | — |
| Microsoft Foundry | $0.30 | $0.90 |
| Fireworks AI | $0.10 | $0.10 |
| Replicate API | $0.05 | $0.25 |
Capabilities
No model capability flags are currently sourced.
About Phi-3 Mini 128K
Phi-3 Mini-128K-Instruct, developed by Microsoft, is a 3.8 billion-parameter large language model renowned for its lightweight, open-source architecture. Despite its modest size, it excels in reasoning tasks, particularly in math and logic, and showcases strong code generation capabilities. A standout feature is its remarkable ability to handle up to 128,000 tokens, allowing it to process extensive text documents and codebases efficiently. While it has limitations in factual knowledge and focuses primarily on English, it strikes a balance between performance and efficiency, making it ideal for resource-constrained environments.