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Phi 4 Multimodal Instruct on NVIDIA NIM

Phi-4 · Microsoft Research

ServerlessOpen Source

Last refreshed 2026-05-01. Next refresh: weekly.

Why use Phi 4 Multimodal Instruct on NVIDIA NIM?

NVIDIA NIM offers Phi 4 Multimodal Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Compare Phi 4 Multimodal Instruct across 3 providers to find the best fit for your use case
Input / 1M
-
Output / 1M
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Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: microsoft/phi-4-multimodal-instruct
Model ID
microsoft/phi-4-multimodal-instruct

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID microsoft/phi-4-multimodal-instruct.

Gotchas

  • Use provider model ID "microsoft/phi-4-multimodal-instruct", not the LLMReference slug "phi-4-multimodal-instruct".

Compare Phi 4 Multimodal Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$0.90$0.90
NVIDIA NIM
Microsoft Foundry

Pricing

TypeRate
GPU Hour Rate$1.00/GPU·hr

Capabilities

VisionMultimodal

FAQ

What is the context window for Phi 4 Multimodal Instruct on NVIDIA NIM?

Phi 4 Multimodal Instruct supports a 128,000 token context window on NVIDIA NIM.

How does NVIDIA NIM compare to other Phi 4 Multimodal Instruct providers?

Phi 4 Multimodal Instruct is available from 3 providers. The cheapest input pricing is $0.9/1M tokens from Fireworks AI.

What API model ID do I use for Phi 4 Multimodal Instruct on NVIDIA NIM?

Use the model ID microsoft/phi-4-multimodal-instruct when calling NVIDIA NIM's API.

Who created Phi 4 Multimodal Instruct?

Phi 4 Multimodal Instruct was created by Microsoft Research as part of the Phi-4 model family.

Is Phi 4 Multimodal Instruct open source?

Phi 4 Multimodal Instruct is open source according to the seed data.

Get Started

Model Specs

Released2025-01-01
Context128K
ArchitectureDecoder Only

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