Using Phi-3 Vision on NVIDIA NIM

Implementation guide · Phi-3 · Microsoft Research

ProvisionedOpen Source

NVIDIA NIM exposes Phi-3 Vision through model ID phi-3-vision. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-21. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at NVIDIA NIM and generate an API key.
  2. 2
    Use the NVIDIA NIM SDK or REST API to call phi-3-vision — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.

Code Examples

See NVIDIA NIM documentation for integration details.

Pricing on NVIDIA NIM

Capabilities

Vision

About Phi-3 Vision

Phi-3 Vision is a sophisticated multimodal AI model from Microsoft, designed to adeptly integrate language and vision capabilities. Unlike traditional language models, it processes both text and images and can perform tasks such as optical character recognition, chart analysis, and image interpretation. Its architecture features an image encoder, a text-image connector, a projector for mapping image features, and the Phi-3 Mini language model. Despite its relatively small size of 4.2 billion parameters, it competes with larger models and suits devices with limited computational power. Phi-3 Vision's ability to handle up to 128K tokens supports complex multimodal reasoning.

Model Specs

Released2024-05-21
Parameters4.2B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-10

Provider

NVIDIA NIM

NVIDIA

Santa Clara, California, United States