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How much VRAM does Kimi K2.6 need?

Kimi K2.6 needs 554 GB for its weights as released (INT4), 556 GB with an 8K context and 557 GB with 32K.

Parameters
1T
Active per token
32B
Longest context
256K
Released
Apr 2026
License
Modified MIT
Strongest at
Chat, Coding, Agents, Docs

Memory at each precision

Memory Kimi K2.6 needs at each precision and context length
PrecisionWeightsWith 8KWith 32KWith 128K
As released (INT4)554 GB556 GB557 GB564 GB
3-bit467 GB469 GB471 GB477 GB
2-bit359 GB360 GB362 GB368 GB
1.6-bit197 GB199 GB200 GB207 GB

One conversation, 16-bit context cache, runtime overhead included.

What runs it

The best way Kimi K2.6 runs on common GPUs, Macs and AI boxes
MachineBest fitContextSpeedFirst reply
RTX 3060 12 GBToo big
RTX 4060 Ti 16 GBToo big
RTX 3090Too big
RTX 4090Too big
RTX 5090Too big
2× RTX 3090Too big
RTX PRO 6000 BlackwellToo big
M4 Max 128 GBToo big
M5 Max 128 GBToo big
Ryzen AI Max+ 395 128 GBToo big
DGX Spark 128 GBToo big
M3 Ultra 256 GBToo big
M5 Ultra 512 GB2-bit80K42 tok/s6.1 s
H100 SXMToo big
DGX Station GB3001.6-bit256K200 tok/s0.6 s
8× H200 NVLINT4256K58 tok/s0.3 s

Best fit is the highest quality, up to 8-bit, that leaves 16K of context. First reply is the wait for a 2K prompt. Speeds are rough, plus or minus 25%.

How to run it

llama.cpp
llama-server -hf unsloth/Kimi-K2.6-GGUF
vLLM
vllm serve moonshotai/Kimi-K2.6
MLX (Mac)
mlx_lm.chat --model mlx-community/Kimi-K2.6-mlx-DQ3_K_M-q8

Questions

How much VRAM does Kimi K2.6 need?

Kimi K2.6 needs 554 GB for its weights as released (INT4), 556 GB with an 8K context and 557 GB with 32K.

Can Kimi K2.6 run on an RTX 4090?

Not on one card. The smallest machine here that runs it is the M5 Ultra 512 GB.

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