Your rig

M2 Pro · 32 GB · 32 GB

32 GB unified · 200 GB/s · 24.0 GB addressable by the GPU
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Context length

KV cache at f16, 8K 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 M2 Pro · 32 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 Q4_K_M. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/s est.
Best long context
Your pick
Qwen3.6 35B-A3B
Alibaba · Apache 2.0
262K with just 10 KV-cache layers and 2 KV heads: the cheapest long context at 24 GB. Q4_K_M · 23.3 GB
at 128K context
28 Tight fit
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. Q4_K_M · 16.7 GB 7.1 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. Q4_K_M · 16.7 GB 7.1 Runs great
Best reasoning Gemma 4 31B
Google · Apache 2.0
89% AIME — the strongest maths of any model under 32B. Q4_K_M · 20.2 GB 6.4 Runs great
Best for writing Gemma 4 31B
Google · Apache 2.0
The cleanest, least verbose prose of the 2026 24–32 GB class. Q4_K_M · 20.2 GB 6.4 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. Q4_K_M · 16.7 GB 7.1 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). Q4_K_M · 16.7 GB 7.1 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. Q4_K_M · 16.7 GB 7.1 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. Q4_K_M · 16.0 GB 24 Runs great

Everything that fits

Runs great

52 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 8KTotal VRAM headroom Tok/sRuntime
Olmo 3.1 32B Instruct 32.2B Q4_K_M 18.1 GB 1.25 GB 20.0 GB
4.0 GB free
6.2 MLX Run
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q4_K_M 17.8 GB 0.05 GB 18.4 GB
5.6 GB free
29 MLX Run
Gemma 4 31B 31.3B Q4_K_M 17.6 GB 2.03 GB 20.2 GB
3.8 GB free
6.4 MLX Run
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q4_K_M 17.5 GB 0.41 GB 18.6 GB
5.4 GB free
31 MLX Run
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q4_K_M 17.1 GB 0.75 GB 18.5 GB
5.5 GB free
28 MLX Run
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q4_K_M 17.1 GB 0.75 GB 18.5 GB
5.5 GB free
28 MLX Run
Muse Glimmer 30B New 29.8B Q4_K_M 16.8 GB 0.18 GB 17.5 GB
6.5 GB free
6.7 MLX Run
Granite 4.1 30B 28.9B Q4_K_M 16.3 GB 2.00 GB 18.9 GB
5.1 GB free
6.9 MLX Run
Qwen3.8 27B New this week 27.8B Q4_K_M 15.6 GB 0.50 GB 16.7 GB
7.3 GB free
7.1 MLX Run
Qwen3.6 27B 27.8B Q4_K_M 15.6 GB 0.50 GB 16.7 GB
7.3 GB free
7.1 MLX Run
Gemma 3 27B 27.4B Q4_K_M 15.4 GB 1.03 GB 17.0 GB
7.0 GB free
7.3 MLX Run
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q4_K_M 14.9 GB 0.51 GB 16.0 GB
8.0 GB free
24 MLX Run
Devstral Small 2 24B 24B Q4_K_M 13.5 GB 1.25 GB 15.3 GB
8.7 GB free
8.3 MLX Run
Mistral Small 3.2 24B 23.6B Q4_K_M 13.3 GB 1.25 GB 15.1 GB
8.9 GB free
8.4 MLX Run
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.19 GB 11.6 GB
12.4 GB free
28 MLX Run
Qwen3 14B 14.8B Q4_K_M 8.3 GB 1.25 GB 10.2 GB
13.8 GB free
13 MLX Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q4_K_M 8.3 GB 1.50 GB 10.4 GB
13.6 GB free
13 MLX Run
Qwen2.5-Coder 14B 14.8B Q4_K_M 8.3 GB 1.50 GB 10.4 GB
13.6 GB free
13 MLX Run
Phi-4 14B 14.7B Q4_K_M 8.3 GB 1.56 GB 10.4 GB
13.6 GB free
14 MLX Run
Ministral 3 14B 13.9B Q4_K_M 7.8 GB 1.25 GB 9.7 GB
14.3 GB free
14 MLX Run
Gemma 3 12B 12.2B Q4_K_M 6.9 GB 0.81 GB 8.3 GB
15.7 GB free
16 MLX Run
Mistral NeMo 12B 12.2B Q4_K_M 6.9 GB 1.25 GB 8.7 GB
15.3 GB free
16 MLX Run
Gemma 4 12B 12B Q4_K_M 6.7 GB 0.81 GB 8.2 GB
15.8 GB free
17 MLX Run
Qwen3.5 9B 9.65B Q4_K_M 5.4 GB 0.25 GB 6.3 GB
17.7 GB free
21 MLX Run
Ornith 1.5 9B New this week 9.41B Q4_K_M 5.3 GB 0.25 GB 6.1 GB
17.9 GB free
21 MLX Run
Ministral 3 8B 8.92B Q4_K_M 5.0 GB 1.06 GB 6.7 GB
17.3 GB free
22 MLX Run
Granite 4.1 8B 8.79B Q4_K_M 4.9 GB 1.25 GB 6.8 GB
17.2 GB free
23 MLX Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q4_K_M 4.8 GB 0.09 GB 5.5 GB
18.5 GB free
62 MLX Run
Fara 7B 8.29B Q4_K_M 4.7 GB 0.44 GB 5.7 GB
18.3 GB free
24 MLX Run
Qwen3 8B 8.19B Q4_K_M 4.6 GB 1.13 GB 6.3 GB
17.7 GB free
24 MLX Run
Llama 3.1 8B Instruct 8.03B Q4_K_M 4.5 GB 1.00 GB 6.1 GB
17.9 GB free
25 MLX Run
Gemma 4 E4B 8.0B Q4_K_M 4.5 GB 0.14 GB 5.2 GB
18.8 GB free
25 MLX Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q4_K_M 4.4 GB 0.05 GB 5.1 GB
18.9 GB free
71 MLX Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q4_K_M 4.3 GB 0.44 GB 5.3 GB
18.7 GB free
26 MLX Run
Qwen2.5-Coder 7B 7.62B Q4_K_M 4.3 GB 0.44 GB 5.3 GB
18.7 GB free
26 MLX Run
Olmo 3 7B Instruct 7.3B Q4_K_M 4.1 GB 2.50 GB 7.2 GB
16.8 GB free
27 MLX Run
Mistral 7B Instruct v0.3 7.25B Q4_K_M 4.1 GB 1.00 GB 5.7 GB
18.3 GB free
27 MLX Run
Gemma 4 E2B 5.1B Q4_K_M 2.9 GB 0.07 GB 3.5 GB
20.5 GB free
39 MLX Run
Qwen3.5 4B 4.66B Q4_K_M 2.6 GB 0.25 GB 3.5 GB
20.5 GB free
43 MLX Run
Gemma 3 4B 4.3B Q4_K_M 2.4 GB 0.30 GB 3.3 GB
20.7 GB free
46 MLX Run
Qwen3 4B 4.02B Q4_K_M 2.3 GB 1.13 GB 4.0 GB
20.0 GB free
49 MLX Run
Ministral 3 3B 3.85B Q4_K_M 2.2 GB 0.81 GB 3.6 GB
20.4 GB free
52 MLX Run
Phi-4-mini 3.8B 3.84B Q4_K_M 2.2 GB 1.00 GB 3.8 GB
20.2 GB free
52 MLX Run
Granite 4.1 3B 3.4B Q4_K_M 1.9 GB 0.63 GB 3.1 GB
20.9 GB free
58 MLX Run
Llama 3.2 3B Instruct 3.21B Q4_K_M 1.8 GB 0.88 GB 3.3 GB
20.7 GB free
62 MLX Run
LFM2.5 2.6B New 2.7B Q4_K_M 1.5 GB 0.13 GB 2.2 GB
21.8 GB free
74 MLX Run
Qwen3.5 2B 2.27B Q4_K_M 1.3 GB 0.09 GB 2.0 GB
22.0 GB free
88 MLX Run
Qwen3 1.7B 1.72B Q4_K_M 1.0 GB 0.88 GB 2.4 GB
21.6 GB free
116 MLX Run
Llama 3.2 1B Instruct 1.24B Q4_K_M 0.7 GB 0.25 GB 1.5 GB
22.5 GB free
160 MLX Run
Gemma 3 1B 1.0B Q4_K_M 0.6 GB 0.04 GB 1.2 GB
22.8 GB free
199 MLX Run
Qwen3.5 0.8B 0.87B Q4_K_M 0.5 GB 0.09 GB 1.2 GB
22.8 GB free
228 MLX Run
Qwen3 0.6B 0.6B Q4_K_M 0.3 GB 0.88 GB 1.8 GB
22.2 GB free
331 MLX Run

Runs — tight

6 models · fits at 8K, drop context or quant to go longer
ModelParamsQuantWeights +KV 8KTotal VRAM headroom Tok/sRuntime
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q4_K_M 20.2 GB 0.16 GB 20.9 GB
3.1 GB free
28 MLX Run
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q4_K_M 20.2 GB 0.16 GB 20.9 GB
3.1 GB free
28 MLX Run
LLM-jp 4 33B Thinking New this week 33.2B Q4_K_M 18.7 GB 2.00 GB 21.3 GB
2.7 GB free
6.0 MLX Run
Qwen3 32B 32.8B Q4_K_M 18.4 GB 2.00 GB 21.0 GB
3.0 GB free
6.1 MLX Run
DeepSeek-R1-Distill-Qwen 32B 32.8B Q4_K_M 18.4 GB 2.00 GB 21.0 GB
3.0 GB free
6.1 MLX Run
Qwen2.5-Coder 32B 32.8B Q4_K_M 18.4 GB 2.00 GB 21.0 GB
3.0 GB free
6.1 MLX Run

Won't fit in VRAM

18 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 8KTotal Over budget Tok/sRuntime
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q4_K_M 1563.2 GB 0.21 GB 1564.0 GB +1540.0 GB ~0.9 MLX Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q4_K_M 1375.4 GB 0.72 GB 1376.7 GB +1352.7 GB ~1.0 MLX Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q4_K_M 927.8 GB 0.54 GB 928.9 GB +904.9 GB ~1.9 MLX Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q4_K_M 577.5 GB 0.54 GB 578.6 GB +554.6 GB ~2.9 MLX Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q4_K_M 423.4 GB 0.69 GB 424.7 GB +400.7 GB ~2.3 MLX Why
DeepSeek-R1 671B 671B MoE / 37B act Q4_K_M 377.3 GB 0.54 GB 378.4 GB +354.4 GB ~2.5 MLX Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q4_K_M 226.6 GB 0.23 GB 227.4 GB +203.4 GB ~5.5 MLX Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q4_K_M 223.2 GB 0.23 GB 224.1 GB +200.1 GB ~5.5 MLX Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q4_K_M 159.7 GB 0.38 GB 160.7 GB +136.7 GB ~7.1 MLX Why
Qwen3 235B-A22B 235B MoE / 22B act Q4_K_M 132.1 GB 1.47 GB 134.2 GB +110.2 GB ~4.2 MLX Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q4_K_M 70.3 GB 0.19 GB 71.1 GB +47.1 GB ~9.3 MLX Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q4_K_M 69.7 GB 0.06 GB 70.4 GB +46.4 GB ~7.7 MLX Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q4_K_M 69.7 GB 0.06 GB 70.4 GB +46.4 GB ~18 MLX Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q4_K_M 66.9 GB 0.18 GB 67.7 GB +43.7 GB ~14 MLX Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 0.29 GB 61.4 GB +37.4 GB ~20 MLX Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q4_K_M 61.3 GB 1.50 GB 63.4 GB +39.4 GB ~5.5 MLX Why
Llama 3.3 70B Instruct 70.6B Q4_K_M 39.7 GB 2.50 GB 42.8 GB +18.8 GB ~2.8 MLX Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q4_K_M 39.7 GB 2.50 GB 42.8 GB +18.8 GB ~2.8 MLX Why

Totals = quantised weights + f16 KV cache at 8K tokens + 0.6 GB runtime overhead, against 24.0 GB usable unified memory. Tokens per second are estimated from 200 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.