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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/Mistral 7B Instruct v0.2/on RX 9060 XT 16GB

Can it run?

Can RX 9060 XT 16GB run Mistral 7B Instruct v0.2?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

47.2 tok/s

TTFT

4101 ms

Safe context

31K

Memory

8.2 GB / 16.0 GB

Memory breakdown

Weights4.3 GB
KV Cache1.1 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well47.2 tok/s5964 ms55K
ChatCRuns well47.2 tok/s2237 ms16K
CodingCRuns well47.2 tok/s4101 ms31K
RAGCRuns well47.2 tok/s7456 ms55K
ReasoningCRuns well47.2 tok/s4846 ms31K

Quantization options

How Mistral 7B Instruct v0.2 (7B params) fits at each quantization level on RX 9060 XT 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowD33
Q3_K_S
3
3.4 GB
LowD34
NVFP4
4
3.9 GB
MediumD35
Q4_K_M
4
4.3 GB
MediumD35
Q5_K_M
5
5.0 GB
HighD36
Q6_K
6
5.7 GB
HighD37
Q8_0Best for your GPU
8
7.5 GB
Very HighD39
F16
16
14.3 GB
MaximumC44

Get started

Upgrade options

Hardware that runs Mistral 7B Instruct v0.2 well

AMDRX 7900 XT 20GBBudget pick
C112.4 tok/s decode

~$899 MSRP

AppleMacBook Pro M4 Pro 24GBBest value
C49.2 tok/s decode

~$1,999 MSRP

NVIDIARTX A4500 20GBBiggest leap
C116.9 tok/s decode

 

See all results for RX 9060 XT 16GBSee all hardware for Mistral 7B Instruct v0.2