Can Phi 4 Mini 4B run on NVIDIA T4 16GB?

YES — Runs Great

B70Good

Estimated from fit model

Phi 4 Mini 4B needs ~6.7 GB VRAM. NVIDIA T4 16GB has 16.0 GB. With Q4_K_M quantization, expect ~56 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: LowStack: BasicBottleneck: Balanced

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 6.7 GB, 56.0 tok/s, Runs well

6.7 GB required16.0 GB available

42% VRAM used

Fit status

Runs well

Decode

56.0 tok/s

TTFT

3457 ms

Safe context

118K

Memory

6.7 GB / 16.0 GB

Memory breakdown

Weights2.4 GB

KV Cache1.5 GB

Runtime1.2 GB

Headroom1.6 GB

See how fast it feels

See how fast it feelsPhi 4 Mini 4B on NVIDIA T4 16GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
  - Speed = 60 mph (miles per hour)
  - Time  = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
  Distance = 60 mph x 2.5 h
           = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
  - First half: 1.25 hours at 60 mph = 75 miles
  - Stop: 20 minutes (no distance)
  - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 56.0 tok/s decode · 3.5s TTFT (warm) · 140 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Older PCIe generation

PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	B	Runs well	56.0 tok/s	1886 ms	118K
Coding	B	Runs well	56.0 tok/s	3457 ms	118K
Agentic Coding	A	Runs well	56.0 tok/s	5029 ms	118K
Reasoning	B	Runs well	56.0 tok/s	4086 ms	118K
RAG	A	Runs well	56.0 tok/s	6286 ms	118K

Quantization options

How Phi 4 Mini 4B (4B params) fits at each quantization level on NVIDIA T4 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.6 GB	Low	B66
Q3_K_S	3	2.0 GB	Low	B67
NVFP4	4	2.2 GB	Medium	B67
Q4_K_M	4	2.4 GB	Medium	B67
Q5_K_M	5	2.9 GB	High	B67
Q6_K	6	3.3 GB	High	B68
Q8_0	8	4.3 GB	Very High	B69
F16Best for your GPU	16	8.2 GB	Maximum	A72

Get started

Copy-paste commands to run Phi 4 Mini 4B on your machine.

Run

ollama run phi4-mini

Upgrade options

Hardware that runs Phi 4 Mini 4B well

MacBook Pro M4 Pro 24GBBudget pick

24 GB Unified (+8)

This setup is broadly balanced for this model.56 tok/s decode

~$1,999 MSRP

Frequently asked questions

Can NVIDIA T4 16GB run Phi 4 Mini 4B?

Yes, NVIDIA T4 16GB can run Phi 4 Mini 4B with a B grade (Runs well). Expected decode speed: 56.0 tok/s.

How much VRAM does Phi 4 Mini 4B need?

Phi 4 Mini 4B (4B parameters) requires approximately 6.7 GB of memory with Q4_K_M quantization.

What is the best quantization for Phi 4 Mini 4B?

The recommended quantization for Phi 4 Mini 4B is Q4_K_M, which balances quality and memory efficiency.

What speed will Phi 4 Mini 4B run at on NVIDIA T4 16GB?

On NVIDIA T4 16GB, Phi 4 Mini 4B achieves approximately 56.0 tokens per second decode speed with a time-to-first-token of 3457ms using Q4_K_M quantization.

Can NVIDIA T4 16GB run Phi 4 Mini 4B for coding?

For coding workloads, Phi 4 Mini 4B on NVIDIA T4 16GB receives a B grade with 56.0 tok/s and 118K context.

What context window can Phi 4 Mini 4B use on NVIDIA T4 16GB?

On NVIDIA T4 16GB, Phi 4 Mini 4B can safely use up to 118K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.

See all results for NVIDIA T4 16GB See all hardware for Phi 4 Mini 4B

Embed this result▼

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<iframe src="https://willitrunai.com/embed/phi-4-mini-4b-on-t4-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

56.0 tok/s

1886 ms

118K

Coding

Runs well

56.0 tok/s

3457 ms

118K

Agentic Coding

Runs well

56.0 tok/s

5029 ms

118K

Reasoning

Runs well

56.0 tok/s

4086 ms

118K

RAG

Runs well

56.0 tok/s

6286 ms

118K

Quant

Bits

VRAM

Quality

Fit

Q2_K

1.6 GB

Low

B66

Q3_K_S

2.0 GB

Low

B67

NVFP4

2.2 GB

Medium

B67

Q4_K_M

2.4 GB

Medium

B67

Q5_K_M

2.9 GB

High

B67

Q6_K

3.3 GB

High

B68

Q8_0

4.3 GB

Very High

B69

F16Best for your GPU

8.2 GB

Maximum

A72

Frequently asked questions

Can NVIDIA T4 16GB run Phi 4 Mini 4B?

Yes, NVIDIA T4 16GB can run Phi 4 Mini 4B with a B grade (Runs well). Expected decode speed: 56.0 tok/s.

How much VRAM does Phi 4 Mini 4B need?

Phi 4 Mini 4B (4B parameters) requires approximately 6.7 GB of memory with Q4_K_M quantization.

What is the best quantization for Phi 4 Mini 4B?

The recommended quantization for Phi 4 Mini 4B is Q4_K_M, which balances quality and memory efficiency.

What speed will Phi 4 Mini 4B run at on NVIDIA T4 16GB?

On NVIDIA T4 16GB, Phi 4 Mini 4B achieves approximately 56.0 tokens per second decode speed with a time-to-first-token of 3457ms using Q4_K_M quantization.

Can NVIDIA T4 16GB run Phi 4 Mini 4B for coding?

For coding workloads, Phi 4 Mini 4B on NVIDIA T4 16GB receives a B grade with 56.0 tok/s and 118K context.

What context window can Phi 4 Mini 4B use on NVIDIA T4 16GB?

On NVIDIA T4 16GB, Phi 4 Mini 4B can safely use up to 118K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.