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Apple M3 Ultra

Apple M3 Ultra has 256 GB of unified memory at 819 GB/s — about 178.56 GiB usable after driver and compositor overhead. 2108 of 2118 indexed models fit at 32K context with q4_0 KV. Note only 192 GB of its 256 GB is allocatable to the GPU.

Spec sheet· bandwidth, theoreticalFrom the file· fit from summed bytesPredicted· speed
Memory
256 GB
LPDDR5-6400
Bandwidth
819 GB/s
1024-bit bus
Tensor FP16
—
dense
TDP
—
Context4K8K16K32K64K128K
KV cachef16q8_0q4_0quantizing the KV cache is a ~2× lever on the dominant term at long context
text 1812vision language 192image 2audio tts 21audio asr 39video 16embedding 26

What fits at 32K context

largest quantization that fits, per model · 2108 of 2118 indexed
ModelBest quantParamsWeights●KV●Total in memory◐Headroom◐tok/s◐
GLM-5.1MoEIQ2_XXS754B189.92 GiB0.77 GiB191.29 GiB0.71 GiB20±37%
GLM-5MoEUD-IQ1_S754B189.71 GiB0.77 GiB191.08 GiB0.92 GiB20±37%
Qwen3-Coder-480B-A35B-InstructMoEUD-IQ3_XXS480B187.70 GiB2.18 GiB190.46 GiB1.54 GiB16±37%
openPangu-2.0-FlashMoEKV unresolvedBF16100B188.04 GiB0.45 GiB189.05 GiB2.95 GiB20±37%
cogito-671b-v2.1MoEUD-IQ1_M671B187.19 GiB0.60 GiB188.42 GiB3.58 GiB20±37%
DeepSeek-V3.1-TerminusMoEUD-IQ1_M685B187.19 GiB0.60 GiB188.42 GiB3.58 GiB20±37%
DeepSeek-V3-0324MoEUD-IQ1_M685B186.94 GiB0.60 GiB188.17 GiB3.83 GiB20±37%
cogito-v2-preview-deepseek-671B-MoEMoEUD-IQ1_M671B186.85 GiB0.60 GiB188.08 GiB3.92 GiB20±37%
DeepSeek-R1-0528MoEUD-IQ1_M685B186.69 GiB0.60 GiB187.92 GiB4.08 GiB20±37%
DeepSeek-TNG-R1T2-ChimeraMoEUD-IQ1_M685B186.69 GiB0.60 GiB187.92 GiB4.08 GiB20±37%
DeepSeek-Prover-V2-671BMoEUD-IQ1_M685B186.06 GiB0.60 GiB187.30 GiB4.70 GiB20±37%
Hermes-4-405BQ3_K_M406B181.96 GiB4.43 GiB187.22 GiB4.78 GiB4±8.3%
Hermes-3-Llama-3.1-405BQ3_K_M406B181.96 GiB4.43 GiB187.22 GiB4.78 GiB4±8.3%
DeepSeek-V3.2MoEUD-IQ1_M685B185.62 GiB0.60 GiB186.85 GiB5.15 GiB21±37%
Qwen3-Coder-REAP-363B-A35BMoEIQ4_XS363B183.56 GiB2.18 GiB186.32 GiB5.68 GiB15±37%
MiniMax-M2.7MoEQ6_K229B183.52 GiB2.18 GiB186.24 GiB5.76 GiB19±37%
Qwen3.5-397B-A17BMoEUD-IQ4_NL403B185.08 GiB0.26 GiB185.94 GiB6.06 GiB23±37%
MiniMax-M3MoEQ3_K_M427B183.11 GiB1.05 GiB184.73 GiB7.27 GiB20±37%
r1-1776MoEIQ2_S671B183.47 GiB0.60 GiB184.70 GiB7.30 GiB21±37%
DeepSeek-R1MoEIQ2_S685B183.47 GiB0.60 GiB184.70 GiB7.30 GiB21±37%
Ornith-1.0-397BMoEUD-IQ4_NL397B182.60 GiB0.26 GiB183.46 GiB8.54 GiB24±37%
GLM-4.5MoEIQ4_XS358B179.60 GiB3.23 GiB183.42 GiB8.58 GiB16±37%
GLM-4.7MoEIQ4_XS358B179.45 GiB3.23 GiB183.27 GiB8.73 GiB16±37%
GLM-4.6-Derestricted-v3MoEIQ4_XS357B178.83 GiB3.23 GiB182.66 GiB9.34 GiB16±37%
GLM-4.6MoEIQ4_XS357B178.83 GiB3.23 GiB182.66 GiB9.34 GiB16±37%
MiMo-V2.5MoEKV unresolvedQ4_1311B180.99 GiB1.05 GiB182.64 GiB9.36 GiB20±37%
Qwen3-235B-A22BMoEQ6_K235B179.80 GiB1.65 GiB182.04 GiB9.96 GiB16±37%
Qwen3-235B-A22B-Instruct-2507MoEQ6_K235B179.80 GiB1.65 GiB182.04 GiB9.96 GiB16±37%
Qwen3-235B-A22B-Thinking-2507MoEQ6_K235B179.80 GiB1.65 GiB182.04 GiB9.96 GiB16±37%
Qwen3-VL-235B-A22B-ThinkingMoEQ6_K236B179.76 GiB1.65 GiB181.99 GiB10.01 GiB16±37%
Qwen3-VL-235B-A22B-InstructMoEQ6_K236B179.76 GiB1.65 GiB181.99 GiB10.01 GiB16±37%
Qwen3-235B-A22B-abliteratedMoEI1-Q6_K235B179.76 GiB1.65 GiB181.99 GiB10.01 GiB16±37%
MiMo-V2-FlashMoEKV unresolvedQ4_1310B180.12 GiB1.05 GiB181.77 GiB10.23 GiB21±37%
GLM-4.6-REAP-268B-A32BMoEQ5_K_M269B177.71 GiB3.23 GiB181.54 GiB10.46 GiB15±37%
DeepSeek-Coder-V2-Instruct-0724MoEQ6_K236B180.25 GiB0.59 GiB181.43 GiB10.57 GiB20±37%
DeepSeek-V2.5MoEQ6_K236B180.25 GiB0.59 GiB181.43 GiB10.57 GiB20±37%
DeepSeek-Coder-V2-InstructMoEQ6_K236B180.25 GiB0.59 GiB181.43 GiB10.57 GiB20±37%
grok-2MoEQ5_K_M270B178.41 GiB2.25 GiB181.36 GiB10.64 GiB7±37%
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16MoEUD-IQ2_M561B180.64 GiB0.00 GiB181.23 GiB10.77 GiB20±37%
DeepSeek-V3.1MoEUD-IQ1_S685B179.11 GiB0.60 GiB180.34 GiB11.66 GiB21±37%
Llama-4-Maverick-17B-128E-InstructMoEKV unresolvedQ3_K_M402B177.95 GiB1.69 GiB180.21 GiB11.79 GiB25±37%
Hy3MoEQ4_1299B174.90 GiB2.81 GiB178.30 GiB13.70 GiB18±37%
Nex-N2-ProMoEIQ3_M397B176.93 GiB0.26 GiB177.80 GiB14.20 GiB24±37%
Trinity-Large-PreviewMoEQ3_K_M399B176.43 GiB0.75 GiB177.76 GiB14.24 GiB25±37%
command-a-plus-05-2026-bf16MoEQ6_K219B176.79 GiB0.40 GiB177.75 GiB14.25 GiB17±37%
Trinity-Large-TrueBaseMoEI1-Q3_K_M399B176.30 GiB0.75 GiB177.63 GiB14.37 GiB25±37%
MiniMax-M2.1MoEQ6_K229B174.91 GiB2.18 GiB177.63 GiB14.37 GiB20±37%
MiniMax-M2MoEQ6_K229B174.91 GiB2.18 GiB177.63 GiB14.37 GiB20±37%
MiniMax-M2.5MoEQ6_K229B174.87 GiB2.18 GiB177.58 GiB14.42 GiB20±37%
MiniMax-M2.7-BF16-ultra-uncensored-hereticMoEQ6_K229B174.87 GiB2.18 GiB177.58 GiB14.42 GiB20±37%
Trinity-Large-ThinkingMoEIQ3_M399B176.24 GiB0.75 GiB177.57 GiB14.43 GiB25±37%
ERNIE-4.5-300B-A47B-PTQ4_1300B174.57 GiB1.90 GiB177.14 GiB14.86 GiB4±8.3%
Qwen3.5-REAP-262B-A17BMoEQ5_K_M262B172.96 GiB0.26 GiB173.82 GiB18.18 GiB22±37%
Minimax-M3-abliterated-cleanMoEQ3_K_S427B171.06 GiB1.05 GiB172.68 GiB19.32 GiB21±37%
GLM-4.7-REAP-218B-A32BMoEQ6_K218B167.57 GiB3.23 GiB171.39 GiB20.61 GiB14±37%
GLM-5.2MoEQ3_K_M753B169.33 GiB0.77 GiB170.70 GiB21.30 GiB22±37%
Solar-Open2-250BMoEQ5_K_M250B165.65 GiB1.69 GiB167.91 GiB24.09 GiB22±37%
Step-3.7-FlashQ6_K_L201B160.20 GiB3.67 GiB164.44 GiB27.56 GiB4±8.3%
step-3.5-flashQ6_K199B150.81 GiB3.67 GiB155.06 GiB36.94 GiB4±8.3%
DeepSeek-V4-FlashMoEQ4_K291B153.33 GiB0.02 GiB153.94 GiB38.06 GiB27±37%
●From the file◐Predictedwhat these mean

Speed is modeled, not measured: decode is memory-bandwidth bound, so tokens per second is bytes read per token against achievable bandwidth. Mixture-of-experts models carry a wider band because only the routed experts are read each step, and few have been measured publicly.

Questions people ask

What AI models can a Apple M3 Ultra run?
2108 of 2118 indexed open-weight models fit a Apple M3 Ultra at 32,768 context with q4_0 KV cache, the largest being GLM-5.1 at IQ2_XXS. That covers text, vision-language, image, video and speech models.
How much usable memory does a Apple M3 Ultra actually have?
Its nameplate is 256 GB, but about 178.56 GiB is available to a model once driver and compositor overhead is accounted for, and only 192 GB of the pool can be allocated to the GPU at all.
Is a Apple M3 Ultra fast for local AI?
Its memory bandwidth is 819 GB/s, and that figure — not teraflops — is what governs token generation speed. Capacity decides what you can run; bandwidth decides how fast it runs.