Your rig

M4 Pro · 48 GB · 48 GB

48 GB unified · 273 GB/s · 36.0 GB addressable by the GPU
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Context length

KV cache at f16, 4K tokens

Quality floor
Q8_0 — near-lossless Q6_K Q5_K_M Q4_K_M — recommended Q3_K_M Q2_K — damaged
KV cache type
Runtime
Ollamallama.cppLM StudioMLX

4 of 5 runtimes drive this device.

Allow CPU offload Include partial-offload fits

Offloaded layers run at 60 GB/s host bandwidth — expect single-digit tokens per second.

Which one should I actually run?

Best models for your M4 Pro · 48 GB

Updated 21 Aug 2026 5 new this week, 14 this month

What do you want to do? Each row is the best-ranked model on that use case's shortlist that fits at Q5_K_M and 4K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/s est.
Best overall Qwen3.8 27B New this week
Alibaba · Apache 2.0
Best capability per gigabyte: a current-generation dense 27B with vision and 262K context. Q5_K_M · 19.2 GB 8.3 Runs great
Best for coding Qwen3.8 27B New this week
Alibaba · Apache 2.0
Terminal-Bench 73, DeepSWE 42 — a generation ahead of anything else that fits 24 GB. Q5_K_M · 19.2 GB 8.3 Runs great
Best reasoning Gemma 4 31B
Google · Apache 2.0
89% AIME — the strongest maths of any model under 32B. Q5_K_M · 22.7 GB 7.4 Runs great
Best for writing Gemma 4 31B
Google · Apache 2.0
The cleanest, least verbose prose of the 2026 24–32 GB class. Q5_K_M · 22.7 GB 7.4 Runs great
Best vision Qwen3.8 27B New this week
Alibaba · Apache 2.0
Image and video in, OSWorld 84 — the strongest local vision-language model at 24 GB. Q5_K_M · 19.2 GB 8.3 Runs great
Best for agents Qwen3.8 27B New this week
Alibaba · Apache 2.0
Computer use and tool calling are what 3.8 was trained for (OSWorld 84). Q5_K_M · 19.2 GB 8.3 Runs great
Best translation Qwen3.8 27B New this week
Alibaba · Apache 2.0
119 languages, and Qwen translations read as idiomatic rather than literal. Q5_K_M · 19.2 GB 8.3 Runs great
Fastest good model Qwen3.6 35B-A3B
Alibaba · Apache 2.0
3.3B active per token: the fastest model that still competes with dense 27Bs. Q5_K_M · 24.4 GB 33 Runs great
Best long context Qwen3.8 27B New this week
Alibaba · Apache 2.0
262K native, and only 16 of 64 blocks keep a KV cache — long context is cheap here. Q5_K_M · 27.0 GB
at 128K context
8.3 Runs great

Everything that fits

Runs great

58 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 4KTotal VRAM headroom Tok/sRuntime
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q5_K_M 23.7 GB 0.08 GB 24.4 GB
11.6 GB free
33 MLX Run
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q5_K_M 23.7 GB 0.08 GB 24.4 GB
11.6 GB free
33 MLX Run
LLM-jp 4 33B Thinking New this week 33.2B Q5_K_M 21.9 GB 1.00 GB 23.5 GB
12.5 GB free
7.0 MLX Run
Qwen3 32B 32.8B Q5_K_M 21.7 GB 1.00 GB 23.3 GB
12.7 GB free
7.0 MLX Run
DeepSeek-R1-Distill-Qwen 32B 32.8B Q5_K_M 21.7 GB 1.00 GB 23.3 GB
12.7 GB free
7.0 MLX Run
Qwen2.5-Coder 32B 32.8B Q5_K_M 21.7 GB 1.00 GB 23.3 GB
12.7 GB free
7.0 MLX Run
Olmo 3.1 32B Instruct 32.2B Q5_K_M 21.3 GB 1.00 GB 22.9 GB
13.1 GB free
7.2 MLX Run
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q5_K_M 20.9 GB 0.02 GB 21.5 GB
14.5 GB free
34 MLX Run
Gemma 4 31B 31.3B Q5_K_M 20.7 GB 1.41 GB 22.7 GB
13.3 GB free
7.4 MLX Run
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q5_K_M 20.6 GB 0.21 GB 21.4 GB
14.6 GB free
36 MLX Run
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q5_K_M 20.1 GB 0.38 GB 21.1 GB
14.9 GB free
33 MLX Run
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q5_K_M 20.1 GB 0.38 GB 21.1 GB
14.9 GB free
33 MLX Run
Muse Glimmer 30B New 29.8B Q5_K_M 19.7 GB 0.13 GB 20.4 GB
15.6 GB free
7.8 MLX Run
Granite 4.1 30B 28.9B Q5_K_M 19.1 GB 1.00 GB 20.7 GB
15.3 GB free
8.0 MLX Run
Qwen3.8 27B New this week 27.8B Q5_K_M 18.4 GB 0.25 GB 19.2 GB
16.8 GB free
8.3 MLX Run
Qwen3.6 27B 27.8B Q5_K_M 18.4 GB 0.25 GB 19.2 GB
16.8 GB free
8.3 MLX Run
Gemma 3 27B 27.4B Q5_K_M 18.1 GB 0.72 GB 19.4 GB
16.6 GB free
8.4 MLX Run
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q5_K_M 17.5 GB 0.35 GB 18.4 GB
17.6 GB free
28 MLX Run
Devstral Small 2 24B 24B Q5_K_M 15.8 GB 0.63 GB 17.1 GB
18.9 GB free
9.6 MLX Run
Mistral Small 3.2 24B 23.6B Q5_K_M 15.6 GB 0.63 GB 16.8 GB
19.2 GB free
9.8 MLX Run
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.10 GB 11.5 GB
24.5 GB free
38 MLX Run
Qwen3 14B 14.8B Q5_K_M 9.8 GB 0.63 GB 11.0 GB
25.0 GB free
16 MLX Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q5_K_M 9.8 GB 0.75 GB 11.1 GB
24.9 GB free
16 MLX Run
Qwen2.5-Coder 14B 14.8B Q5_K_M 9.8 GB 0.75 GB 11.1 GB
24.9 GB free
16 MLX Run
Phi-4 14B 14.7B Q5_K_M 9.7 GB 0.78 GB 11.1 GB
24.9 GB free
16 MLX Run
Ministral 3 14B 13.9B Q5_K_M 9.2 GB 0.63 GB 10.4 GB
25.6 GB free
17 MLX Run
Gemma 3 12B 12.2B Q5_K_M 8.1 GB 0.56 GB 9.2 GB
26.8 GB free
19 MLX Run
Mistral NeMo 12B 12.2B Q5_K_M 8.1 GB 0.63 GB 9.3 GB
26.7 GB free
19 MLX Run
Gemma 4 12B 12B Q5_K_M 7.9 GB 0.56 GB 9.1 GB
26.9 GB free
19 MLX Run
Qwen3.5 9B 9.65B Q5_K_M 6.4 GB 0.13 GB 7.1 GB
28.9 GB free
24 MLX Run
Ornith 1.5 9B New this week 9.41B Q5_K_M 6.2 GB 0.13 GB 6.9 GB
29.1 GB free
25 MLX Run
Ministral 3 8B 8.92B Q5_K_M 5.9 GB 0.53 GB 7.0 GB
29.0 GB free
26 MLX Run
Granite 4.1 8B 8.79B Q5_K_M 5.8 GB 0.63 GB 7.0 GB
29.0 GB free
26 MLX Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q5_K_M 5.6 GB 0.05 GB 6.2 GB
29.8 GB free
72 MLX Run
Fara 7B 8.29B Q5_K_M 5.5 GB 0.22 GB 6.3 GB
29.7 GB free
28 MLX Run
Qwen3 8B 8.19B Q5_K_M 5.4 GB 0.56 GB 6.6 GB
29.4 GB free
28 MLX Run
Llama 3.1 8B Instruct 8.03B Q5_K_M 5.3 GB 0.50 GB 6.4 GB
29.6 GB free
29 MLX Run
Gemma 4 E4B 8.0B Q5_K_M 5.3 GB 0.09 GB 6.0 GB
30.0 GB free
29 MLX Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q5_K_M 5.2 GB 0.03 GB 5.8 GB
30.2 GB free
83 MLX Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q5_K_M 5.0 GB 0.22 GB 5.8 GB
30.2 GB free
30 MLX Run
Qwen2.5-Coder 7B 7.62B Q5_K_M 5.0 GB 0.22 GB 5.8 GB
30.2 GB free
30 MLX Run
Olmo 3 7B Instruct 7.3B Q5_K_M 4.8 GB 2.00 GB 7.4 GB
28.6 GB free
32 MLX Run
Mistral 7B Instruct v0.3 7.25B Q5_K_M 4.8 GB 0.50 GB 5.9 GB
30.1 GB free
32 MLX Run
Gemma 4 E2B 5.1B Q5_K_M 3.4 GB 0.04 GB 4.0 GB
32.0 GB free
45 MLX Run
Qwen3.5 4B 4.66B Q5_K_M 3.1 GB 0.13 GB 3.8 GB
32.2 GB free
50 MLX Run
Gemma 3 4B 4.3B Q5_K_M 2.8 GB 0.20 GB 3.6 GB
32.4 GB free
54 MLX Run
Qwen3 4B 4.02B Q5_K_M 2.7 GB 0.56 GB 3.8 GB
32.2 GB free
57 MLX Run
Ministral 3 3B 3.85B Q5_K_M 2.5 GB 0.41 GB 3.5 GB
32.5 GB free
60 MLX Run
Phi-4-mini 3.8B 3.84B Q5_K_M 2.5 GB 0.50 GB 3.6 GB
32.4 GB free
60 MLX Run
Granite 4.1 3B 3.4B Q5_K_M 2.2 GB 0.31 GB 3.2 GB
32.8 GB free
68 MLX Run
Llama 3.2 3B Instruct 3.21B Q5_K_M 2.1 GB 0.44 GB 3.2 GB
32.8 GB free
72 MLX Run
LFM2.5 2.6B New 2.7B Q5_K_M 1.8 GB 0.06 GB 2.4 GB
33.6 GB free
86 MLX Run
Qwen3.5 2B 2.27B Q5_K_M 1.5 GB 0.05 GB 2.1 GB
33.9 GB free
102 MLX Run
Qwen3 1.7B 1.72B Q5_K_M 1.1 GB 0.44 GB 2.2 GB
33.8 GB free
134 MLX Run
Llama 3.2 1B Instruct 1.24B Q5_K_M 0.8 GB 0.13 GB 1.5 GB
34.5 GB free
186 MLX Run
Gemma 3 1B 1.0B Q5_K_M 0.7 GB 0.03 GB 1.3 GB
34.7 GB free
231 MLX Run
Qwen3.5 0.8B 0.87B Q5_K_M 0.6 GB 0.05 GB 1.2 GB
34.8 GB free
266 MLX Run
Qwen3 0.6B 0.6B Q5_K_M 0.4 GB 0.44 GB 1.4 GB
34.6 GB free
385 MLX Run

Won't fit in VRAM

18 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 4KTotal Over budget Tok/sRuntime
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q5_K_M 1835.0 GB 0.11 GB 1835.7 GB +1799.7 GB ~1.0 MLX Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q5_K_M 1614.5 GB 0.36 GB 1615.5 GB +1579.5 GB ~1.1 MLX Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q5_K_M 1089.1 GB 0.27 GB 1090.0 GB +1054.0 GB ~2.2 MLX Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q5_K_M 677.9 GB 0.27 GB 678.8 GB +642.8 GB ~3.4 MLX Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q5_K_M 497.0 GB 0.34 GB 498.0 GB +462.0 GB ~2.7 MLX Why
DeepSeek-R1 671B 671B MoE / 37B act Q5_K_M 442.9 GB 0.27 GB 443.8 GB +407.8 GB ~2.9 MLX Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q5_K_M 266.0 GB 0.12 GB 266.7 GB +230.7 GB ~6.3 MLX Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q5_K_M 262.0 GB 0.12 GB 262.8 GB +226.8 GB ~6.3 MLX Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q5_K_M 187.5 GB 0.19 GB 188.3 GB +152.3 GB ~8.3 MLX Why
Qwen3 235B-A22B 235B MoE / 22B act Q5_K_M 155.1 GB 0.73 GB 156.5 GB +120.5 GB ~4.9 MLX Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q5_K_M 82.5 GB 0.09 GB 83.2 GB +47.2 GB ~11 MLX Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q5_K_M 81.8 GB 0.03 GB 82.5 GB +46.5 GB ~9.0 MLX Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q5_K_M 81.8 GB 0.03 GB 82.5 GB +46.5 GB ~21 MLX Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q5_K_M 78.5 GB 0.09 GB 79.2 GB +43.2 GB ~17 MLX Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 0.15 GB 61.3 GB +25.3 GB ~27 MLX Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q5_K_M 71.9 GB 0.75 GB 73.3 GB +37.3 GB ~6.3 MLX Why
Llama 3.3 70B Instruct 70.6B Q5_K_M 46.6 GB 1.25 GB 48.5 GB +12.5 GB ~3.3 MLX Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q5_K_M 46.6 GB 1.25 GB 48.5 GB +12.5 GB ~3.3 MLX Why

Totals = quantised weights + f16 KV cache at 4K tokens + 0.6 GB runtime overhead, against 36.0 GB usable unified memory. Tokens per second are estimated from 273 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.