Your rig

M2 Max · 96 GB · 96 GB

96 GB unified · 400 GB/s · 72.0 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 Max · 96 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 8K. 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. Q8_0 · 28.6 GB 8.1 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. Q8_0 · 28.6 GB 8.1 Runs great
Best reasoning Gemma 4 31B
Google · Apache 2.0
89% AIME — the strongest maths of any model under 32B. Q8_0 · 33.6 GB 7.2 Runs great
Best for writing Gemma 4 31B
Google · Apache 2.0
The cleanest, least verbose prose of the 2026 24–32 GB class. Q8_0 · 33.6 GB 7.2 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. Q8_0 · 28.6 GB 8.1 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). Q8_0 · 28.6 GB 8.1 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. Q8_0 · 28.6 GB 8.1 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. Q8_0 · 36.3 GB 32 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. Q8_0 · 36.1 GB
at 128K context
8.1 Runs great

Everything that fits

Runs great

58 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 8KTotal VRAM headroom Tok/sRuntime
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q8_0 35.5 GB 0.16 GB 36.3 GB
35.7 GB free
32 MLX Run
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q8_0 35.5 GB 0.16 GB 36.3 GB
35.7 GB free
32 MLX Run
LLM-jp 4 33B Thinking New this week 33.2B Q8_0 32.9 GB 2.00 GB 35.5 GB
36.5 GB free
6.8 MLX Run
Qwen3 32B 32.8B Q8_0 32.5 GB 2.00 GB 35.1 GB
36.9 GB free
6.9 MLX Run
DeepSeek-R1-Distill-Qwen 32B 32.8B Q8_0 32.5 GB 2.00 GB 35.1 GB
36.9 GB free
6.9 MLX Run
Qwen2.5-Coder 32B 32.8B Q8_0 32.5 GB 2.00 GB 35.1 GB
36.9 GB free
6.9 MLX Run
Olmo 3.1 32B Instruct 32.2B Q8_0 31.9 GB 1.25 GB 33.7 GB
38.3 GB free
7.0 MLX Run
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q8_0 31.3 GB 0.05 GB 31.9 GB
40.1 GB free
33 MLX Run
Gemma 4 31B 31.3B Q8_0 31.0 GB 2.03 GB 33.6 GB
38.4 GB free
7.2 MLX Run
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q8_0 30.9 GB 0.41 GB 31.9 GB
40.1 GB free
35 MLX Run
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q8_0 30.2 GB 0.75 GB 31.5 GB
40.5 GB free
32 MLX Run
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q8_0 30.2 GB 0.75 GB 31.5 GB
40.5 GB free
32 MLX Run
Muse Glimmer 30B New 29.8B Q8_0 29.5 GB 0.18 GB 30.3 GB
41.7 GB free
7.6 MLX Run
Granite 4.1 30B 28.9B Q8_0 28.6 GB 2.00 GB 31.2 GB
40.8 GB free
7.8 MLX Run
Qwen3.8 27B New this week 27.8B Q8_0 27.5 GB 0.50 GB 28.6 GB
43.4 GB free
8.1 MLX Run
Qwen3.6 27B 27.8B Q8_0 27.5 GB 0.50 GB 28.6 GB
43.4 GB free
8.1 MLX Run
Gemma 3 27B 27.4B Q8_0 27.1 GB 1.03 GB 28.7 GB
43.3 GB free
8.2 MLX Run
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q8_0 26.2 GB 0.51 GB 27.3 GB
44.7 GB free
28 MLX Run
Devstral Small 2 24B 24B Q8_0 23.7 GB 1.25 GB 25.6 GB
46.4 GB free
9.4 MLX Run
Mistral Small 3.2 24B 23.6B Q8_0 23.4 GB 1.25 GB 25.2 GB
46.8 GB free
9.6 MLX Run
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.19 GB 11.6 GB
60.4 GB free
56 MLX Run
Qwen3 14B 14.8B Q8_0 14.6 GB 1.25 GB 16.5 GB
55.5 GB free
15 MLX Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q8_0 14.6 GB 1.50 GB 16.7 GB
55.3 GB free
15 MLX Run
Qwen2.5-Coder 14B 14.8B Q8_0 14.6 GB 1.50 GB 16.7 GB
55.3 GB free
15 MLX Run
Phi-4 14B 14.7B Q8_0 14.5 GB 1.56 GB 16.7 GB
55.3 GB free
15 MLX Run
Ministral 3 14B 13.9B Q8_0 13.8 GB 1.25 GB 15.6 GB
56.4 GB free
16 MLX Run
Gemma 3 12B 12.2B Q8_0 12.1 GB 0.81 GB 13.5 GB
58.5 GB free
19 MLX Run
Mistral NeMo 12B 12.2B Q8_0 12.1 GB 1.25 GB 13.9 GB
58.1 GB free
19 MLX Run
Gemma 4 12B 12B Q8_0 11.9 GB 0.81 GB 13.3 GB
58.7 GB free
19 MLX Run
Qwen3.5 9B 9.65B Q8_0 9.5 GB 0.25 GB 10.4 GB
61.6 GB free
23 MLX Run
Ornith 1.5 9B New this week 9.41B Q8_0 9.3 GB 0.25 GB 10.2 GB
61.8 GB free
24 MLX Run
Ministral 3 8B 8.92B Q8_0 8.8 GB 1.06 GB 10.5 GB
61.5 GB free
25 MLX Run
Granite 4.1 8B 8.79B Q8_0 8.7 GB 1.25 GB 10.5 GB
61.5 GB free
26 MLX Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q8_0 8.4 GB 0.09 GB 9.1 GB
62.9 GB free
70 MLX Run
Fara 7B 8.29B Q8_0 8.2 GB 0.44 GB 9.2 GB
62.8 GB free
27 MLX Run
Qwen3 8B 8.19B Q8_0 8.1 GB 1.13 GB 9.8 GB
62.2 GB free
28 MLX Run
Llama 3.1 8B Instruct 8.03B Q8_0 7.9 GB 1.00 GB 9.5 GB
62.5 GB free
28 MLX Run
Gemma 4 E4B 8.0B Q8_0 7.9 GB 0.14 GB 8.7 GB
63.3 GB free
28 MLX Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q8_0 7.8 GB 0.05 GB 8.5 GB
63.5 GB free
81 MLX Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q8_0 7.5 GB 0.44 GB 8.6 GB
63.4 GB free
30 MLX Run
Qwen2.5-Coder 7B 7.62B Q8_0 7.5 GB 0.44 GB 8.6 GB
63.4 GB free
30 MLX Run
Olmo 3 7B Instruct 7.3B Q8_0 7.2 GB 2.50 GB 10.3 GB
61.7 GB free
31 MLX Run
Mistral 7B Instruct v0.3 7.25B Q8_0 7.2 GB 1.00 GB 8.8 GB
63.2 GB free
31 MLX Run
Gemma 4 E2B 5.1B Q8_0 5.0 GB 0.07 GB 5.7 GB
66.3 GB free
44 MLX Run
Qwen3.5 4B 4.66B Q8_0 4.6 GB 0.25 GB 5.5 GB
66.5 GB free
48 MLX Run
Gemma 3 4B 4.3B Q8_0 4.3 GB 0.30 GB 5.2 GB
66.8 GB free
53 MLX Run
Qwen3 4B 4.02B Q8_0 4.0 GB 1.13 GB 5.7 GB
66.3 GB free
56 MLX Run
Ministral 3 3B 3.85B Q8_0 3.8 GB 0.81 GB 5.2 GB
66.8 GB free
59 MLX Run
Phi-4-mini 3.8B 3.84B Q8_0 3.8 GB 1.00 GB 5.4 GB
66.6 GB free
59 MLX Run
Granite 4.1 3B 3.4B Q8_0 3.4 GB 0.63 GB 4.6 GB
67.4 GB free
66 MLX Run
Llama 3.2 3B Instruct 3.21B Q8_0 3.2 GB 0.88 GB 4.7 GB
67.3 GB free
70 MLX Run
LFM2.5 2.6B New 2.7B Q8_0 2.7 GB 0.13 GB 3.4 GB
68.6 GB free
84 MLX Run
Qwen3.5 2B 2.27B Q8_0 2.2 GB 0.09 GB 2.9 GB
69.1 GB free
100 MLX Run
Qwen3 1.7B 1.72B Q8_0 1.7 GB 0.88 GB 3.2 GB
68.8 GB free
131 MLX Run
Llama 3.2 1B Instruct 1.24B Q8_0 1.2 GB 0.25 GB 2.1 GB
69.9 GB free
182 MLX Run
Gemma 3 1B 1.0B Q8_0 1.0 GB 0.04 GB 1.6 GB
70.4 GB free
226 MLX Run
Qwen3.5 0.8B 0.87B Q8_0 0.9 GB 0.09 GB 1.6 GB
70.4 GB free
260 MLX Run
Qwen3 0.6B 0.6B Q8_0 0.6 GB 0.88 GB 2.1 GB
69.9 GB free
376 MLX Run

Runs — tight

1 model · fits at 8K, drop context or quant to go longer
ModelParamsQuantWeights +KV 8KTotal VRAM headroom Tok/sRuntime
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 0.29 GB 61.4 GB
10.6 GB free
39 MLX Run

Won't fit in VRAM

17 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 8KTotal Over budget Tok/sRuntime
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q8_0 2750.9 GB 0.21 GB 2751.7 GB +2679.7 GB ~1.0 MLX Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q8_0 2420.4 GB 0.72 GB 2421.7 GB +2349.7 GB ~1.1 MLX Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q8_0 1632.7 GB 0.54 GB 1633.9 GB +1561.9 GB ~2.2 MLX Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q8_0 1016.2 GB 0.54 GB 1017.4 GB +945.4 GB ~3.3 MLX Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q8_0 745.1 GB 0.69 GB 746.4 GB +674.4 GB ~2.6 MLX Why
DeepSeek-R1 671B 671B MoE / 37B act Q8_0 664.0 GB 0.54 GB 665.1 GB +593.1 GB ~2.8 MLX Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q8_0 398.8 GB 0.23 GB 399.6 GB +327.6 GB ~6.2 MLX Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q8_0 392.8 GB 0.23 GB 393.7 GB +321.7 GB ~6.2 MLX Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q8_0 281.0 GB 0.38 GB 282.0 GB +210.0 GB ~8.1 MLX Why
Qwen3 235B-A22B 235B MoE / 22B act Q8_0 232.5 GB 1.47 GB 234.6 GB +162.6 GB ~4.8 MLX Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q8_0 123.7 GB 0.19 GB 124.5 GB +52.5 GB ~11 MLX Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q8_0 122.7 GB 0.06 GB 123.4 GB +51.4 GB ~8.8 MLX Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q8_0 122.7 GB 0.06 GB 123.4 GB +51.4 GB ~21 MLX Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q8_0 117.8 GB 0.18 GB 118.5 GB +46.5 GB ~16 MLX Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q8_0 107.9 GB 1.50 GB 110.0 GB +38.0 GB ~6.2 MLX Why
Llama 3.3 70B Instruct 70.6B Q8_0 69.9 GB 2.50 GB 73.0 GB +1.0 GB ~3.2 MLX Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q8_0 69.9 GB 2.50 GB 73.0 GB +1.0 GB ~3.2 MLX Why

Totals = quantised weights + f16 KV cache at 8K tokens + 0.6 GB runtime overhead, against 72.0 GB usable unified memory. Tokens per second are estimated from 400 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.