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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Qwen2.5 3B Instruct/on RTX 4060 Ti 16GB

Can it run?

Can RTX 4060 Ti 16GB run Qwen2.5 3B Instruct?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

114.9 tok/s

TTFT

1685 ms

Safe context

47K

Memory

5.4 GB / 16.0 GB

Memory breakdown

Weights1.8 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well114.9 tok/s2451 ms92K
ChatCRuns well114.9 tok/s919 ms24K
CodingCRuns well114.9 tok/s1685 ms47K
RAGCRuns well114.9 tok/s3064 ms92K
ReasoningCRuns well114.9 tok/s1992 ms47K

Quantization options

How Qwen2.5 3B Instruct (3B params) fits at each quantization level on RTX 4060 Ti 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.2 GB
LowD31
Q3_K_S
3
1.5 GB
LowD31
NVFP4
4
1.7 GB
MediumD32
Q4_K_M
4
1.8 GB
MediumD32
Q5_K_M
5
2.2 GB
HighD32
Q6_K
6
2.5 GB
HighD33
Q8_0
8
3.2 GB
Very HighD34
F16Best for your GPU
16
6.1 GB
MaximumD38

Get started

Upgrade options

Hardware that runs Qwen2.5 3B Instruct well

AppleMacBook Pro M4 Pro 24GBBudget pick
C114.9 tok/s decode

~$1,999 MSRP

See all results for RTX 4060 Ti 16GBSee all hardware for Qwen2.5 3B Instruct