Model requirements

Phi-3 Mini 4K Instruct GPU Requirements

Phi-3 Mini 4K Instruct usually starts around 3-4 GB in INT4, 5-6 GB in INT8, and 8-10 GB in FP16. A safe production starting point is T4 16GB or any healthy 8GB to 16GB route.

Price Phi-3 Mini 4K InstructEstimate cost
INT4 start
3-4 GB
Approximate starting range before runtime headroom.
FP16 start
8-10 GB
Useful for accuracy-first deployments.
Safe GPU floor
T4 16GB or any healthy 8GB to 16GB route
A strong default when you want one safe answer fast.

VRAM table

Phi-3 Mini 4K Instruct memory and route profile

Phi-3 Mini 4K Instruct is primarily used for lightweight assistant and task inference on cheaper gpu routes. Most teams start with the quickest safe answer for memory fit, then compare which production routes make sense.

Use these ranges as practical planning estimates. Your actual requirements still depend on runtime overhead, batching, and the execution framework.

PrecisionApproximate VRAMTypical route
INT43-4 GBCheapest healthy route when quality holds
INT85-6 GBBalanced production starting point
FP168-10 GBAccuracy-first route with more headroom

Execution notes

What changes the route in production

A memory-fit answer is only useful if the route is healthy. Pages like this should explain that fit, latency, and route quality all matter once the model goes live.

For Phi-3 Mini 4K Instruct, the most relevant follow-up pages are the cost page and the run-without-GPU page because those are the next practical questions most teams ask.

  • Low-cost assistants
  • Workflow automation
  • Rapid prototyping with open models

Next step

Take Phi-3 Mini 4K Instruct from research into a real route

Once the fit is clear, price the route and test one workload so you can compare the theory against live capacity.

Open the estimatorRun this workload
CostCost to run Phi-3 Mini 4K InstructCheck the operating range and what changes the bill in production.DocsDocs and execution workflowInspect the API, CLI, and portal paths if you want to run the model immediately.

FAQ

Frequently asked

What GPU do I need for Phi-3 Mini 4K Instruct?

A safe starting answer is T4 16GB or any healthy 8GB to 16GB route. Lighter quantized routes can use less memory, but that is the clean default most teams need first.

Can Phi-3 Mini 4K Instruct run on a consumer GPU?

In many cases yes, especially with quantization. The safer answer still depends on the exact precision, runtime overhead, and traffic shape you expect in production.

How can I estimate the cost of running Phi-3 Mini 4K Instruct remotely?

Use the pricing estimator after reviewing the requirements. It can help you compare a remote route with buying or managing hardware directly.