Your rig

M3 · 24 GB · 24 GB

24 GB unified · 100 GB/s · 18.0 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 M3 · 24 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 and 128K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/s est.
Best overall Qwen3.5 9B
Alibaba · Apache 2.0
The 8–12 GB default of 2026 — beats every older 8B, with vision. Q4_K_M · 10.0 GB 10 Runs great
Best for coding Qwen3.5 9B
Alibaba · Apache 2.0
The best coding model for 8–12 GB cards. Q4_K_M · 10.0 GB 10 Runs great
Best reasoning gpt-oss 20B
OpenAI · Apache 2.0
Low/medium/high reasoning effort in 13 GB. MXFP4 · 14.4 GB 14 Runs great
Best for writing Gemma 4 12B
Google · Apache 2.0
The 12 GB writing pick; 140+ languages. Q4_K_M · 15.7 GB 8.3 Tight fit
Best vision Qwen3.5 9B
Alibaba · Apache 2.0
Vision on an 8–12 GB card. Q4_K_M · 10.0 GB 10 Runs great
Best for agents gpt-oss 20B
OpenAI · Apache 2.0
Harmony-format tool calling, native 4-bit. MXFP4 · 14.4 GB 14 Runs great
Best translation Qwen3.5 9B
Alibaba · Apache 2.0
Strong CJK and European translation in 8–12 GB. Q4_K_M · 10.0 GB 10 Runs great
Fastest good model gpt-oss 20B
OpenAI · Apache 2.0
3.6B active, native 4-bit. MXFP4 · 14.4 GB 14 Runs great
Best long context Qwen3.5 9B
Alibaba · Apache 2.0
262K native in 8–12 GB. Q4_K_M · 10.0 GB
at 128K context
10 Runs great

Everything that fits

Runs great

24 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
3.6 GB free
14 MLX Run
Phi-4 14B 14.7B Q4_K_M 8.3 GB 3.13 GB 12.0 GB
6.0 GB free
6.8 MLX Run
Qwen3.5 9B 9.65B Q4_K_M 5.4 GB 4.00 GB 10.0 GB
8.0 GB free
10 MLX Run
Ornith 1.5 9B New this week 9.41B Q4_K_M 5.3 GB 4.00 GB 9.9 GB
8.1 GB free
11 MLX Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q4_K_M 4.8 GB 1.46 GB 6.8 GB
11.2 GB free
31 MLX Run
Fara 7B 8.29B Q4_K_M 4.7 GB 6.84 GB 12.1 GB
5.9 GB free
12 MLX Run
Gemma 4 E4B 8.0B Q4_K_M 4.5 GB 1.78 GB 6.9 GB
11.1 GB free
12 MLX Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q4_K_M 4.4 GB 0.84 GB 5.9 GB
12.1 GB free
36 MLX Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q4_K_M 4.3 GB 7.00 GB 11.9 GB
6.1 GB free
13 MLX Run
Qwen2.5-Coder 7B 7.62B Q4_K_M 4.3 GB 7.00 GB 11.9 GB
6.1 GB free
13 MLX Run
Olmo 3 7B Instruct 7.3B Q4_K_M 4.1 GB 9.50 GB 14.2 GB
3.8 GB free
14 MLX Run
Mistral 7B Instruct v0.3 7.25B Q4_K_M 4.1 GB 4.00 GB 8.7 GB
9.3 GB free
14 MLX Run
Gemma 4 E2B 5.1B Q4_K_M 2.9 GB 0.89 GB 4.4 GB
13.6 GB free
19 MLX Run
Qwen3.5 4B 4.66B Q4_K_M 2.6 GB 4.00 GB 7.2 GB
10.8 GB free
21 MLX Run
Gemma 3 4B 4.3B Q4_K_M 2.4 GB 3.11 GB 6.1 GB
11.9 GB free
23 MLX Run
Qwen3 4B 4.02B Q4_K_M 2.3 GB 4.50 GB 7.4 GB
10.6 GB free
25 MLX Run
Granite 4.1 3B 3.4B Q4_K_M 1.9 GB 10.00 GB 12.5 GB
5.5 GB free
29 MLX Run
LFM2.5 2.6B New 2.7B Q4_K_M 1.5 GB 2.00 GB 4.1 GB
13.9 GB free
37 MLX Run
Qwen3.5 2B 2.27B Q4_K_M 1.3 GB 1.50 GB 3.4 GB
14.6 GB free
44 MLX Run
Qwen3 1.7B 1.72B Q4_K_M 1.0 GB 3.50 GB 5.1 GB
12.9 GB free
58 MLX Run
Llama 3.2 1B Instruct 1.24B Q4_K_M 0.7 GB 4.00 GB 5.3 GB
12.7 GB free
80 MLX Run
Gemma 3 1B 1.0B Q4_K_M 0.6 GB 0.14 GB 1.3 GB
16.7 GB free
99 MLX Run
Qwen3.5 0.8B 0.87B Q4_K_M 0.5 GB 1.50 GB 2.6 GB
15.4 GB free
114 MLX Run
Qwen3 0.6B 0.6B Q4_K_M 0.3 GB 3.50 GB 4.4 GB
13.6 GB free
166 MLX Run

Runs — tight

4 models · fits at 128K, drop context or quant to go longer
ModelParamsQuantWeights +KV 128KTotal VRAM headroom Tok/sRuntime
Gemma 3 12B 12.2B Q4_K_M 6.9 GB 8.31 GB 15.8 GB
2.2 GB free
8.1 MLX Run
Gemma 4 12B 12B Q4_K_M 6.7 GB 8.31 GB 15.7 GB
2.3 GB free
8.3 MLX Run
Ministral 3 3B 3.85B Q4_K_M 2.2 GB 13.00 GB 15.8 GB
2.2 GB free
26 MLX Run
Llama 3.2 3B Instruct 3.21B Q4_K_M 1.8 GB 14.00 GB 16.4 GB
1.6 GB free
31 MLX Run

Won't fit in VRAM

48 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 128KTotal Over budget Tok/sRuntime
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q4_K_M 1563.2 GB 3.38 GB 1567.1 GB +1549.1 GB ~0.4 MLX Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q4_K_M 1375.4 GB 11.50 GB 1387.5 GB +1369.5 GB ~0.5 MLX Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q4_K_M 927.8 GB 8.58 GB 937.0 GB +919.0 GB ~0.9 MLX Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q4_K_M 577.5 GB 8.58 GB 586.6 GB +568.6 GB ~1.4 MLX Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q4_K_M 423.4 GB 10.97 GB 435.0 GB +417.0 GB ~1.2 MLX Why
DeepSeek-R1 671B 671B MoE / 37B act Q4_K_M 377.3 GB 8.58 GB 386.5 GB +368.5 GB ~1.3 MLX Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q4_K_M 226.6 GB 3.75 GB 231.0 GB +213.0 GB ~2.7 MLX Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q4_K_M 223.2 GB 3.75 GB 227.6 GB +209.6 GB ~2.7 MLX Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q4_K_M 159.7 GB 6.05 GB 166.3 GB +148.3 GB ~3.6 MLX Why
Qwen3 235B-A22B 235B MoE / 22B act Q4_K_M 132.1 GB 23.50 GB 156.2 GB +138.2 GB ~2.1 MLX Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q4_K_M 70.3 GB 3.00 GB 73.9 GB +55.9 GB ~4.6 MLX Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q4_K_M 69.7 GB 1.00 GB 71.3 GB +53.3 GB ~3.9 MLX Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q4_K_M 69.7 GB 0.98 GB 71.3 GB +53.3 GB ~9.1 MLX Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q4_K_M 66.9 GB 2.81 GB 70.3 GB +52.3 GB ~7.1 MLX Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 4.50 GB 65.6 GB +47.6 GB ~9.9 MLX Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q4_K_M 61.3 GB 7.13 GB 69.0 GB +51.0 GB ~2.7 MLX Why
Llama 3.3 70B Instruct 70.6B Q4_K_M 39.7 GB 40.00 GB 80.3 GB +62.3 GB ~1.4 MLX Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q4_K_M 39.7 GB 40.00 GB 80.3 GB +62.3 GB ~1.4 MLX Why
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q4_K_M 20.2 GB 2.50 GB 23.3 GB +5.3 GB ~14 MLX Why
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q4_K_M 20.2 GB 2.50 GB 23.3 GB +5.3 GB ~14 MLX Why
LLM-jp 4 33B Thinking New this week 33.2B Q4_K_M 18.7 GB 16.00 GB 35.3 GB +17.3 GB ~3.0 MLX Why
Qwen3 32B 32.8B Q4_K_M 18.4 GB 32.00 GB 51.0 GB +33.0 GB ~3.0 MLX Why
DeepSeek-R1-Distill-Qwen 32B 32.8B Q4_K_M 18.4 GB 32.00 GB 51.0 GB +33.0 GB ~3.0 MLX Why
Qwen2.5-Coder 32B 32.8B Q4_K_M 18.4 GB 32.00 GB 51.0 GB +33.0 GB ~3.0 MLX Why
Olmo 3.1 32B Instruct 32.2B Q4_K_M 18.1 GB 4.75 GB 23.5 GB +5.5 GB ~3.1 MLX Why
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q4_K_M 17.8 GB 0.75 GB 19.1 GB +1.1 GB ~14 MLX Why
Gemma 4 31B 31.3B Q4_K_M 17.6 GB 20.78 GB 39.0 GB +21.0 GB ~3.2 MLX Why
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q4_K_M 17.5 GB 6.61 GB 24.8 GB +6.8 GB ~15 MLX Why
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q4_K_M 17.1 GB 12.00 GB 29.7 GB +11.7 GB ~14 MLX Why
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q4_K_M 17.1 GB 12.00 GB 29.7 GB +11.7 GB ~14 MLX Why
Muse Glimmer 30B New 29.8B Q4_K_M 16.8 GB 1.70 GB 19.1 GB +1.1 GB ~3.3 MLX Why
Granite 4.1 30B 28.9B Q4_K_M 16.3 GB 32.00 GB 48.9 GB +30.9 GB ~3.4 MLX Why
Qwen3.8 27B New this week 27.8B Q4_K_M 15.6 GB 8.00 GB 24.2 GB +6.2 GB ~3.6 MLX Why
Qwen3.6 27B 27.8B Q4_K_M 15.6 GB 8.00 GB 24.2 GB +6.2 GB ~3.6 MLX Why
Gemma 3 27B 27.4B Q4_K_M 15.4 GB 10.41 GB 26.4 GB +8.4 GB ~3.6 MLX Why
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q4_K_M 14.9 GB 5.20 GB 20.7 GB +2.7 GB ~12 MLX Why
Devstral Small 2 24B 24B Q4_K_M 13.5 GB 20.00 GB 34.1 GB +16.1 GB ~4.1 MLX Why
Mistral Small 3.2 24B 23.6B Q4_K_M 13.3 GB 20.00 GB 33.9 GB +15.9 GB ~4.2 MLX Why
Qwen3 14B 14.8B Q4_K_M 8.3 GB 20.00 GB 28.9 GB +10.9 GB ~6.7 MLX Why
DeepSeek-R1-Distill-Qwen 14B 14.8B Q4_K_M 8.3 GB 24.00 GB 32.9 GB +14.9 GB ~6.7 MLX Why
Qwen2.5-Coder 14B 14.8B Q4_K_M 8.3 GB 24.00 GB 32.9 GB +14.9 GB ~6.7 MLX Why
Ministral 3 14B 13.9B Q4_K_M 7.8 GB 20.00 GB 28.4 GB +10.4 GB ~7.1 MLX Why
Mistral NeMo 12B 12.2B Q4_K_M 6.9 GB 20.00 GB 27.5 GB +9.5 GB ~8.1 MLX Why
Ministral 3 8B 8.92B Q4_K_M 5.0 GB 17.00 GB 22.6 GB +4.6 GB ~11 MLX Why
Granite 4.1 8B 8.79B Q4_K_M 4.9 GB 20.00 GB 25.5 GB +7.5 GB ~11 MLX Why
Qwen3 8B 8.19B Q4_K_M 4.6 GB 18.00 GB 23.2 GB +5.2 GB ~12 MLX Why
Llama 3.1 8B Instruct 8.03B Q4_K_M 4.5 GB 16.00 GB 21.1 GB +3.1 GB ~12 MLX Why
Phi-4-mini 3.8B 3.84B Q4_K_M 2.2 GB 16.00 GB 18.8 GB +0.8 GB ~26 MLX Why

Totals = quantised weights + f16 KV cache at 128K tokens + 0.6 GB runtime overhead, against 18.0 GB usable unified memory. Tokens per second are estimated from 100 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.