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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/Kimi K2.5/on RTX 4080 Super 16GB

Can it run?

Can RTX 4080 Super 16GB run Kimi K2.5?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

3.1 tok/s

TTFT

62945 ms

Safe context

4K

Memory

619.0 GB / 16.0 GB

Memory breakdown

Weights610.0 GB
KV Cache5.0 GB
Runtime2.4 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy3.1 tok/s91557 ms4K
ChatFToo heavy3.1 tok/s34334 ms4K
CodingFToo heavy3.1 tok/s62945 ms4K
RAGFToo heavy3.1 tok/s114446 ms4K
ReasoningFToo heavy3.1 tok/s74390 ms4K

Quantization options

How Kimi K2.5 (1000B params) fits at each quantization level on RTX 4080 Super 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
390.0 GB
LowF0
Q3_K_S
3
490.0 GB
LowF0
NVFP4
4
560.0 GB
MediumF0
Q4_K_M
4
610.0 GB
MediumF0
Q5_K_M
5
720.0 GB
HighF0
Q6_K
6
820.0 GB
HighF0
Q8_0
8
1070.0 GB
Very HighF0
F16
16
2050.0 GB
MaximumF0
See all results for RTX 4080 Super 16GBSee all hardware for Kimi K2.5