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, 128K 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 Q8_0 and 128K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/s est.
Best overall Gemma 4 12B
Google · Apache 2.0
The 12 GB generalist: text, image and audio in, 140+ languages. Q8_0 · 20.8 GB 13 Runs great
Best for coding Qwen3.5 9B
Alibaba · Apache 2.0
The best coding model for 8–12 GB cards. Q8_0 · 14.1 GB 16 Runs great
Best reasoning gpt-oss 20B
OpenAI · Apache 2.0
Low/medium/high reasoning effort in 13 GB. MXFP4 · 14.4 GB 38 Runs great
Best for writing Gemma 4 12B
Google · Apache 2.0
The 12 GB writing pick; 140+ languages. Q8_0 · 20.8 GB 13 Runs great
Best vision Gemma 4 26B-A4B
Google · Apache 2.0
Vision at MoE speed in 18 GB. Q8_0 · 32.0 GB 19 Tight fit
Best for agents Muse Glimmer 30B New
Meta · Apache 2.0
Distilled specifically for always-on local agent workflows. Q8_0 · 31.8 GB 5.2 Tight fit
Best translation Gemma 4 12B
Google · Apache 2.0
Broad language coverage on a 12 GB card. Q8_0 · 20.8 GB 13 Runs great
Fastest good model Gemma 4 26B-A4B
Google · Apache 2.0
3.8B active and a small file — the quickest Gemma 4 with vision. Q8_0 · 32.0 GB 19 Tight fit
Best long context Nemotron 3.5 Lightning 30B-A3B New
NVIDIA · OpenMDW-1.1
262K, and a Mamba hybrid whose cache barely grows. Q8_0 · 32.6 GB
at 128K context
22 Tight fit

Everything that fits

Runs great

33 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 128KTotal VRAM headroom Tok/sRuntime
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 3.00 GB 14.4 GB
21.6 GB free
38 MLX Run
Phi-4 14B 14.7B Q8_0 14.5 GB 3.13 GB 18.3 GB
17.7 GB free
10 MLX Run
Gemma 3 12B 12.2B Q8_0 12.1 GB 8.31 GB 21.0 GB
15.0 GB free
13 MLX Run
Gemma 4 12B 12B Q8_0 11.9 GB 8.31 GB 20.8 GB
15.2 GB free
13 MLX Run
Qwen3.5 9B 9.65B Q8_0 9.5 GB 4.00 GB 14.1 GB
21.9 GB free
16 MLX Run
Ornith 1.5 9B New this week 9.41B Q8_0 9.3 GB 4.00 GB 13.9 GB
22.1 GB free
16 MLX Run
Ministral 3 8B 8.92B Q8_0 8.8 GB 17.00 GB 26.4 GB
9.6 GB free
17 MLX Run
Granite 4.1 8B 8.79B Q8_0 8.7 GB 20.00 GB 29.3 GB
6.7 GB free
18 MLX Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q8_0 8.4 GB 1.46 GB 10.4 GB
25.6 GB free
48 MLX Run
Fara 7B 8.29B Q8_0 8.2 GB 6.84 GB 15.6 GB
20.4 GB free
19 MLX Run
Qwen3 8B 8.19B Q8_0 8.1 GB 18.00 GB 26.7 GB
9.3 GB free
19 MLX Run
Llama 3.1 8B Instruct 8.03B Q8_0 7.9 GB 16.00 GB 24.5 GB
11.5 GB free
19 MLX Run
Gemma 4 E4B 8.0B Q8_0 7.9 GB 1.78 GB 10.3 GB
25.7 GB free
19 MLX Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q8_0 7.8 GB 0.84 GB 9.3 GB
26.7 GB free
55 MLX Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q8_0 7.5 GB 7.00 GB 15.1 GB
20.9 GB free
20 MLX Run
Qwen2.5-Coder 7B 7.62B Q8_0 7.5 GB 7.00 GB 15.1 GB
20.9 GB free
20 MLX Run
Olmo 3 7B Instruct 7.3B Q8_0 7.2 GB 9.50 GB 17.3 GB
18.7 GB free
21 MLX Run
Mistral 7B Instruct v0.3 7.25B Q8_0 7.2 GB 4.00 GB 11.8 GB
24.2 GB free
21 MLX Run
Gemma 4 E2B 5.1B Q8_0 5.0 GB 0.89 GB 6.5 GB
29.5 GB free
30 MLX Run
Qwen3.5 4B 4.66B Q8_0 4.6 GB 4.00 GB 9.2 GB
26.8 GB free
33 MLX Run
Gemma 3 4B 4.3B Q8_0 4.3 GB 3.11 GB 8.0 GB
28.0 GB free
36 MLX Run
Qwen3 4B 4.02B Q8_0 4.0 GB 4.50 GB 9.1 GB
26.9 GB free
38 MLX Run
Ministral 3 3B 3.85B Q8_0 3.8 GB 13.00 GB 17.4 GB
18.6 GB free
40 MLX Run
Phi-4-mini 3.8B 3.84B Q8_0 3.8 GB 16.00 GB 20.4 GB
15.6 GB free
40 MLX Run
Granite 4.1 3B 3.4B Q8_0 3.4 GB 10.00 GB 14.0 GB
22.0 GB free
45 MLX Run
Llama 3.2 3B Instruct 3.21B Q8_0 3.2 GB 14.00 GB 17.8 GB
18.2 GB free
48 MLX Run
LFM2.5 2.6B New 2.7B Q8_0 2.7 GB 2.00 GB 5.3 GB
30.7 GB free
57 MLX Run
Qwen3.5 2B 2.27B Q8_0 2.2 GB 1.50 GB 4.3 GB
31.7 GB free
68 MLX Run
Qwen3 1.7B 1.72B Q8_0 1.7 GB 3.50 GB 5.8 GB
30.2 GB free
90 MLX Run
Llama 3.2 1B Instruct 1.24B Q8_0 1.2 GB 4.00 GB 5.8 GB
30.2 GB free
124 MLX Run
Gemma 3 1B 1.0B Q8_0 1.0 GB 0.14 GB 1.7 GB
34.3 GB free
154 MLX Run
Qwen3.5 0.8B 0.87B Q8_0 0.9 GB 1.50 GB 3.0 GB
33.0 GB free
177 MLX Run
Qwen3 0.6B 0.6B Q8_0 0.6 GB 3.50 GB 4.7 GB
31.3 GB free
257 MLX Run

Runs — tight

6 models · fits at 128K, drop context or quant to go longer
ModelParamsQuantWeights +KV 128KTotal VRAM headroom Tok/sRuntime
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q8_0 31.3 GB 0.75 GB 32.6 GB
3.4 GB free
22 MLX Run
Muse Glimmer 30B New 29.8B Q8_0 29.5 GB 1.70 GB 31.8 GB
4.2 GB free
5.2 MLX Run
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q8_0 26.2 GB 5.20 GB 32.0 GB
4.0 GB free
19 MLX Run
Qwen3 14B 14.8B Q8_0 14.6 GB 20.00 GB 35.2 GB
0.8 GB free
10 MLX Run
Ministral 3 14B 13.9B Q8_0 13.8 GB 20.00 GB 34.4 GB
1.6 GB free
11 MLX Run
Mistral NeMo 12B 12.2B Q8_0 12.1 GB 20.00 GB 32.7 GB
3.3 GB free
13 MLX Run

Won't fit in VRAM

37 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 128KTotal Over budget Tok/sRuntime
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q8_0 2750.9 GB 3.38 GB 2754.9 GB +2718.9 GB ~0.7 MLX Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q8_0 2420.4 GB 11.50 GB 2432.5 GB +2396.5 GB ~0.8 MLX Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q8_0 1632.7 GB 8.58 GB 1641.9 GB +1605.9 GB ~1.5 MLX Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q8_0 1016.2 GB 8.58 GB 1025.4 GB +989.4 GB ~2.2 MLX Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q8_0 745.1 GB 10.97 GB 756.7 GB +720.7 GB ~1.8 MLX Why
DeepSeek-R1 671B 671B MoE / 37B act Q8_0 664.0 GB 8.58 GB 673.2 GB +637.2 GB ~1.9 MLX Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q8_0 398.8 GB 3.75 GB 403.1 GB +367.1 GB ~4.2 MLX Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q8_0 392.8 GB 3.75 GB 397.2 GB +361.2 GB ~4.2 MLX Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q8_0 281.0 GB 6.05 GB 287.7 GB +251.7 GB ~5.5 MLX Why
Qwen3 235B-A22B 235B MoE / 22B act Q8_0 232.5 GB 23.50 GB 256.6 GB +220.6 GB ~3.3 MLX Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q8_0 123.7 GB 3.00 GB 127.3 GB +91.3 GB ~7.2 MLX Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q8_0 122.7 GB 1.00 GB 124.3 GB +88.3 GB ~6.0 MLX Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q8_0 122.7 GB 0.98 GB 124.3 GB +88.3 GB ~14 MLX Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q8_0 117.8 GB 2.81 GB 121.2 GB +85.2 GB ~11 MLX Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 4.50 GB 65.6 GB +29.6 GB ~27 MLX Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q8_0 107.9 GB 7.13 GB 115.6 GB +79.6 GB ~4.2 MLX Why
Llama 3.3 70B Instruct 70.6B Q8_0 69.9 GB 40.00 GB 110.5 GB +74.5 GB ~2.2 MLX Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q8_0 69.9 GB 40.00 GB 110.5 GB +74.5 GB ~2.2 MLX Why
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q8_0 35.5 GB 2.50 GB 38.6 GB +2.6 GB ~22 MLX Why
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q8_0 35.5 GB 2.50 GB 38.6 GB +2.6 GB ~22 MLX Why
LLM-jp 4 33B Thinking New this week 33.2B Q8_0 32.9 GB 16.00 GB 49.5 GB +13.5 GB ~4.6 MLX Why
Qwen3 32B 32.8B Q8_0 32.5 GB 32.00 GB 65.1 GB +29.1 GB ~4.7 MLX Why
DeepSeek-R1-Distill-Qwen 32B 32.8B Q8_0 32.5 GB 32.00 GB 65.1 GB +29.1 GB ~4.7 MLX Why
Qwen2.5-Coder 32B 32.8B Q8_0 32.5 GB 32.00 GB 65.1 GB +29.1 GB ~4.7 MLX Why
Olmo 3.1 32B Instruct 32.2B Q8_0 31.9 GB 4.75 GB 37.2 GB +1.2 GB ~4.8 MLX Why
Gemma 4 31B 31.3B Q8_0 31.0 GB 20.78 GB 52.4 GB +16.4 GB ~4.9 MLX Why
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q8_0 30.9 GB 6.61 GB 38.1 GB +2.1 GB ~24 MLX Why
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q8_0 30.2 GB 12.00 GB 42.8 GB +6.8 GB ~22 MLX Why
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q8_0 30.2 GB 12.00 GB 42.8 GB +6.8 GB ~22 MLX Why
Granite 4.1 30B 28.9B Q8_0 28.6 GB 32.00 GB 61.2 GB +25.2 GB ~5.3 MLX Why
Qwen3.8 27B New this week 27.8B Q8_0 27.5 GB 8.00 GB 36.1 GB +0.1 GB ~5.5 MLX Why
Qwen3.6 27B 27.8B Q8_0 27.5 GB 8.00 GB 36.1 GB +0.1 GB ~5.5 MLX Why
Gemma 3 27B 27.4B Q8_0 27.1 GB 10.41 GB 38.1 GB +2.1 GB ~5.6 MLX Why
Devstral Small 2 24B 24B Q8_0 23.7 GB 20.00 GB 44.3 GB +8.3 GB ~6.4 MLX Why
Mistral Small 3.2 24B 23.6B Q8_0 23.4 GB 20.00 GB 44.0 GB +8.0 GB ~6.5 MLX Why
DeepSeek-R1-Distill-Qwen 14B 14.8B Q8_0 14.6 GB 24.00 GB 39.2 GB +3.2 GB ~10 MLX Why
Qwen2.5-Coder 14B 14.8B Q8_0 14.6 GB 24.00 GB 39.2 GB +3.2 GB ~10 MLX Why

Totals = quantised weights + f16 KV cache at 128K 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.