Hardware
Apple M4 Max (32-core GPU)
Apple M4 Max (32-core GPU) has 36 GB Unified and 410 GB/s. See which open models fit, at which quant, and roughly how fast. Figures below use the default memory (36 GB). Updated 2026-10-17.
Memory36 GB Unified
Bandwidth410 GB/s
Kindmac
Year2024
Apple MacBook Pro specs: 14-core CPU / 32-core GPU at 410 GB/s, 36GB. Source.
RSS for new models on this device
Models that fit
| Model | Verdict | Quant | Context | tok/s |
|---|---|---|---|---|
| Kwaipilot KAT Coder V2.5 Dev 34.7B | Tight fit | Q5_K_M | 8K | 48–65 |
| Qwen3.8 35B A3B Distill 35.5B | Tight fit | Q5_K_M | 8K | 98–133 |
| Qwen3.5 35B A3B 34.7B | Tight fit | UD-Q5_K_XL | 8K | 92–125 |
| Qwen3.6 35B A3B 34.7B | Tight fit | UD-Q5_K_XL | 8K | 91–125 |
| NVIDIA Nemotron 3.5 Lightning 30B A3B 32.9B | Tight fit | UD-Q5_K_S | 8K | 80–109 |
| NVIDIA Nemotron 3 Nano Omni 30B A3B Reasoning 31.6B | Tight fit | UD-Q5_K_S | 8K | 81–110 |
| Nemotron 3 Nano 30B A3B 31.6B | Tight fit | UD-Q5_K_XL | 4K | 80–109 |
| GLM 4.7 Flash 29.9B | Tight fit | UD-Q6_K_XL | 8K | 38–51 |
| Qwen3 Coder 30B A3B Instruct 30.5B | Tight fit | UD-Q6_K_XL | 8K | 66–91 |
| Qwen3 30B A3B Instruct 2507 30.5B | Tight fit | UD-Q6_K_XL | 8K | 66–91 |
| Qwen3 VL 30B A3B Instruct 30.5B | Tight fit | UD-Q6_K_XL | 8K | 66–91 |
| Qwen3 30B A3B Thinking 2507 30.5B | Tight fit | UD-Q6_K_XL | 8K | 66–91 |
| Qwen3 Coder Next 79.7B | Tight fit | UD-Q2_K_XL | 8K | 42–58 |
| Llama 3.3 70B Instruct 70.6B | Runs | UD-IQ2_XXS | 8K | 10–14 |
| DeepSeek R1 Distill Llama 70B 70.6B | Runs | UD-IQ2_XXS | 8K | 10–14 |
| Hermes 4 70B 70.6B | Runs | UD-IQ2_XXS | 8K | 10–14 |
| gemma 4 26B A4B it 25.2B | Tight fit | Q8_0 | 8K | 36–49 |
| LFM2.5 24B A2B 24.0B | Tight fit | Q8_0 | 8K | 81–110 |
| Qwen3 Next 80B A3B Instruct 79.7B | Tight fit | UD-IQ2_XXS | 8K | 126–172 |
| Qwen3 Next 80B A3B Thinking 79.7B | Tight fit | UD-IQ2_XXS | 8K | 126–172 |
| GLM 4.7 Flash REAP 23B A3B 23.0B | Tight fit | UD-Q8_K_XL | 4K | 59–81 |
| gpt oss 20b 20.9B | Runs great | UD-Q8_K_XL | 8K | 56–76 |
| Qwen2.5 14B Instruct 14.8B | Runs | Q8_0 | 8K | 13–18 |
| NousResearch Hermes 4 14B 14.8B | Runs | Q8_0 | 8K | 13–18 |
| DeepSeek R1 Distill Qwen 14B 14.8B | Runs | Q8_0 | 8K | 13–18 |
| Qwen2.5 Coder 14B Instruct 128K 14.8B | Runs | Q8_0 | 8K | 13–18 |
| Qwen3 14B 14.8B | Runs | UD-Q8_K_XL | 8K | 11–15 |
| phi 4 14.7B | Runs | Q8_0 | 8K | 13–18 |
| GLM 4.6V Flash 9.4B | Runs | BF16 | 8K | 12–16 |
| GLM Z1 9B 0414 9.4B | Runs | BF16 | 8K | 12–16 |
| GLM 4 9B 0414 9.4B | Runs | BF16 | 8K | 12–16 |
| GLM 4.1V 9B Thinking 9.4B | Runs | BF16 | 8K | 12–16 |
| Qwen3.5 9B 9.0B | Runs | BF16 | 8K | 12–17 |
| MiMo V2.6 Distill Qwen 9B 9.0B | Runs | BF16 | 8K | 12–17 |
| Ministral 3 8B Instruct 2512 8.5B | Runs | BF16 | 8K | 12–17 |
| Ministral 3 8B Reasoning 2512 8.5B | Runs | BF16 | 8K | 12–17 |
| Qwen3 VL 8B Instruct 8.2B | Runs | BF16 | 8K | 13–17 |
| DeepSeek R1 0528 Qwen3 8B 8.2B | Runs | BF16 | 8K | 13–17 |
| Qwen3 8B 8.2B | Runs | BF16 | 8K | 13–17 |
| Qwen3 VL 8B Thinking 8.2B | Runs | BF16 | 8K | 13–17 |
90 more models in the catalog do not fit this default profile, or ranked below the first 40 that do.
Example: Tight fit fully in unified memory on your Apple M4 Max (32-core GPU) at Q5_K_M, 8K context, about 48–65 tok/s. Weights 23.3 GB plus 0.19 GB of KV cache — 24.0 GB of 27.0 GB usable. Up to 128K context still fits. Weights shown in the verdict use GiB (the same 1024³ counting as GPU memory).