Open-weight models that run on Apple M4 Max (40-core GPU) · 48 GB
- Unified memory 48 GB
- Bandwidth 546 GB/s
- Usable 36.0 GB
Specs: Memory · MacBook Pro (16-inch, 2024) - Tech Specs - Apple Support · Bandwidth · MacBook Pro (16-inch, 2024) - Tech Specs - Apple Support
| Fit | Model | Parameters / active | Precision | Memory | Est. speed | Longest context | Runs as |
|---|---|---|---|---|---|---|---|
| ●Runs well | Qwen3.5-35B-A3B Alibaba Qwen | 36B / 3B | Q6_K | 104–156 tok/s | 256K | Unified memory | |
| ●Runs well | Qwen3.6-35B-A3B Alibaba Qwen | 36B / 3B | Q6_K | 104–156 tok/s | 256K | Unified memory | |
| ●Runs well | Qwen2.5-VL-32B-Instruct Alibaba Qwen | 33.5B | Q4_0 | 13–20 tok/s | 70K | Unified memory | |
| ●Runs well | Qwen3-VL-32B-Instruct Alibaba Qwen | 33.4B | Q4_0 | 13–20 tok/s | 70K | Unified memory | |
| ●Runs well | Qwen3-VL-32B-Thinking Alibaba Qwen | 33.4B | Q4_0 | 13–20 tok/s | 70K | Unified memory | |
| ●Runs well | Qwen2.5-32B-Instruct Alibaba Qwen | 32.8B | Q4_0maker’s file | 13–20 tok/s | 32K | Unified memory | |
| ●Runs well | Qwen2.5-Coder-32B-Instruct Alibaba Qwen | 32.8B | INT4 (AWQ / GPTQ)maker’s file | 13–19 tok/s | 32K | Unified memory | |
| ●Runs well | QwQ-32B Alibaba Qwen | 32.8B | Q4_0 | 13–20 tok/s | 40K | Unified memory | |
| ●Runs well | DeepSeek-R1-Distill-Qwen-32B DeepSeek | 32.8B | Q4_0 | 13–20 tok/s | 32K | Unified memory | |
| ●Runs well | Qwen3-32B Alibaba Qwen | 32.8B | MLX 4bitmaker’s file | 14–21 tok/s | 128K | Unified memory | |
| ●Runs well | Qwen3-Omni-30B-A3B-Captioner Alibaba Qwen | 31.7B | FP8 | 51–77 tok/s | 53K | Unified memory | |
| ●Runs well | Gemma 4 31B IT Google | 31.3B | Q4_K_M | 13–19 tok/s | 106K | Unified memory | |
| ●Runs well | GLM-4.7-Flash Zhipu AI | 31.2B | FP8 | 49–73 tok/s | 106K | Unified memory | |
| ●Runs well | Qwen3-VL-30B-A3B-Instruct Alibaba Qwen | 31.1B | FP8maker’s file | 56–85 tok/s | 47K | Unified memory | |
| ●Runs well | Qwen3-VL-30B-A3B-Thinking Alibaba Qwen | 31.1B | FP8maker’s file | 56–85 tok/s | 47K | Unified memory | |
| ●Runs well | Qwen3-30B-A3B-Instruct-2507 Alibaba Qwen | 30.5B / 3.3B | FP8maker’s file | 65–98 tok/s | 59K | Unified memory | |
| ●Runs well | Qwen3-30B-A3B-Thinking-2507 Alibaba Qwen | 30.5B / 3.3B | FP8maker’s file | 65–98 tok/s | 59K | Unified memory | |
| ●Runs well | Qwen3-30B-A3B Alibaba Qwen | 30.5B / 3.3B | MLX 8bitmaker’s file | 65–97 tok/s | 128K | Unified memory | |
| ●Runs well | Qwen3-Coder-30B-A3B-Instruct Alibaba Qwen | 30.5B / 3.3B | FP8maker’s file | 65–98 tok/s | 59K | Unified memory | |
| ●Runs well | Hy-Memory-30B-A3B Tencent | 30.1B / 3B | Q8_0maker’s file | 68–102 tok/s | 50K | Unified memory | |
| ●Runs well | Granite Switch 4.1 30B IBM | 30B | IQ4_XS | 15–23 tok/s | 79K | Unified memory | |
| ●Runs well | Qwen3.5-27B Alibaba Qwen | 27.8B | Q5_K_M | 13–20 tok/s | 256K | Unified memory | |
| ●Runs well | Qwen3.6-27B Alibaba Qwen | 27.8B | Q5_K_M | 13–20 tok/s | 256K | Unified memory | |
| ●Runs well | Qwen3.8-27B Alibaba Qwen | 27.8B | Q5_K_M | 13–20 tok/s | 256K | Unified memory | |
| ●Runs well | Gemma 4 26B A4B IT Google | 25.8B / 3.8B | Q8_0 | 60–89 tok/s | 230K | Unified memory | |
| ●Runs well | Magistral Small 1.2 Mistral AI | 24B | Q6_K | 13–19 tok/s | 107K | Unified memory | |
| ●Runs well | Devstral Small 1.0 Mistral AI | 23.6B | Q6_K | 13–20 tok/s | 109K | Unified memory | |
| ●Runs well | Devstral Small 1.1 Mistral AI | 23.6B | Q6_K | 13–20 tok/s | 109K | Unified memory | |
| ●Runs well | Magistral Small 1.0 Mistral AI | 23.6B | Q6_K | 13–20 tok/s | 39K | Unified memory | |
| ●Runs well | Magistral Small 1.1 Mistral AI | 23.6B | Q6_K | 13–20 tok/s | 39K | Unified memory | |
| ●Runs well | ERNIE-4.5-21B-A3B-Thinking Baidu | 21.8B / 3B | Q8_0 | 75–112 tok/s | 128K | Unified memory | |
| ●Runs well | GPT OSS 20B OpenAI | 20.9B / 3.6B | MXFP4 (native)maker’s file | 106–159 tok/s | 128K | Unified memory | |
| ●Runs well | Qwen2.5-14B-Instruct-1M Alibaba Qwen | 14.8B | Q8_0 | 16–24 tok/s | 110K | Unified memory | |
| ●Runs well | Qwen2.5-14B-Instruct Alibaba Qwen | 14.8B | Q8_0maker’s file | 16–24 tok/s | 32K | Unified memory | |
| ●Runs well | DeepSeek-R1-Distill-Qwen-14B DeepSeek | 14.8B | Q8_0 | 16–24 tok/s | 32K | Unified memory | |
| ●Runs well | Qwen3-14B Alibaba Qwen | 14.8B | MLX 8bitmaker’s file | 16–25 tok/s | 128K | Unified memory | |
| ●Runs well | Gemma 3 12B IT Google | 12.2B | Q8_0 | 17–26 tok/s | 66K | Unified memory | |
| ●Runs well | Qwen2.5-Omni-7B Alibaba Qwen | 10.7B | Q8_0 | 23–34 tok/s | 32K | Unified memory | |
| ●Runs well | GLM-4.6V-Flash Zhipu AI | 10.3B | BF16 (native)maker’s file | 13–20 tok/s | 125K | Unified memory | |
| ●Runs well | Qwen3.5-9B Alibaba Qwen | 9.7B | BF16 (native)maker’s file | 14–21 tok/s | 256K | Unified memory | |
| ●Runs well | Qianfan-VL-8B Baidu | 8.8B | BF16 (native)maker’s file | 15–22 tok/s | 32K | Unified memory | |
| ●Runs well | Granite Switch 4.1 8B IBM | 8.8B | BF16 (native)maker’s file | 14–22 tok/s | 115K | Unified memory | |
| ●Runs well | Qwen3-VL-8B-Instruct Alibaba Qwen | 8.8B | BF16 (native)maker’s file | 15–22 tok/s | 128K | Unified memory | |
| ●Runs well | Qwen3-VL-8B-Thinking Alibaba Qwen | 8.8B | BF16 (native)maker’s file | 15–22 tok/s | 128K | Unified memory | |
| ●Runs well | pplx-embed-v2-context-9b Perplexity | 8.4B | Q8_0 | 30–45 tok/s | 256K | Unified memory | |
| ●Runs well | Qwen2.5-VL-7B-Instruct Alibaba Qwen | 8.3B | BF16 (native)maker’s file | 16–24 tok/s | 125K | Unified memory | |
| ●Runs well | Qwen3-8B Alibaba Qwen | 8.2B | BF16 (native)maker’s file | 16–23 tok/s | 128K | Unified memory | |
| ●Runs well | DeepSeek-R1-Distill-Llama-8B DeepSeek | 8B | BF16 (native)maker’s file | 16–24 tok/s | 125K | Unified memory | |
| ●Runs well | Gemma 4 E4B Google | 8B | BF16 (native)maker’s file | 17–25 tok/s | 125K | Unified memory | |
| ●Runs well | Ling-3.0-tiny Ant Group | 7.9B / 1.3B | BF16 (native)maker’s file | 97–145 tok/s | 128K | Unified memory | |
| ●Runs well | Qwen2.5-7B-Instruct-1M Alibaba Qwen | 7.6B | BF16 (native)maker’s file | 17–26 tok/s | 386K | Unified memory | |
| ●Runs well | Qwen2.5-7B-Instruct Alibaba Qwen | 7.6B | BF16 (native)maker’s file | 17–26 tok/s | 32K | Unified memory | |
| ●Runs well | DeepSeek-R1-Distill-Qwen-7B DeepSeek | 7.6B | BF16 (native)maker’s file | 17–26 tok/s | 32K | Unified memory | |
| ●Runs well | Mistral-7B-Instruct-v0.1 Mistral AI | 7.2B | BF16 (native)maker’s file | 18–26 tok/s | 32K | Unified memory | |
| ●Runs well | Gemma 4 E2B Google | 5.1B | BF16 (native)maker’s file | 26–40 tok/s | 125K | Unified memory | |
| ●Runs well | WeVisOne-VL-4B Tencent | 4.8B | BF16 (native)maker’s file | 25–38 tok/s | 188K | Unified memory | |
| ●Runs well | Qianfan-OCR Baidu | 4.7B | BF16 (native)maker’s file | 26–38 tok/s | 31K | Unified memory | |
| ●Runs well | Qwen3.5-4B Alibaba Qwen | 4.7B | BF16 (native)maker’s file | 28–43 tok/s | 256K | Unified memory | |
| ●Runs well | Qwen3-VL-4B-Instruct Alibaba Qwen | 4.4B | BF16 (native)maker’s file | 27–41 tok/s | 194K | Unified memory | |
| ●Runs well | Qwen3-4B-Instruct-2507 Alibaba Qwen | 4B | BF16 (native)maker’s file | 30–44 tok/s | 199K | Unified memory | |
| ●Runs well | Qwen3-4B Alibaba Qwen | 4B | BF16 (native)maker’s file | 30–44 tok/s | 128K | Unified memory | |
| ●Runs well | DeepSeek-OCR DeepSeek | 3.3B | BF16 (native)maker’s file | 98–147 tok/s | 8K | Unified memory | |
| ●Runs well | Granite-4.0-H-Micro IBM | 3.2B | BF16 (native)maker’s file | 42–63 tok/s | 128K | Unified memory | |
| ●Runs well | Qwen3-1.7B Alibaba Qwen | 2B | BF16 (native)maker’s file | 55–82 tok/s | 40K | Unified memory | |
| ●Runs well | DeepSeek-R1-Distill-Qwen-1.5B DeepSeek | 1.8B | BF16 (native)maker’s file | 72–108 tok/s | 125K | Unified memory | |
| ●Runs well | GLM-OCR Zhipu AI | 1.3B | BF16 (native)maker’s file | 86–128 tok/s | 128K | Unified memory | |
| ●Runs well | Qwen3-0.6B Alibaba Qwen | 0.8B | BF16 (native)maker’s file | 112–168 tok/s | 40K | Unified memory | |
| ●Runs well | EmbeddingGemma 2 Google | 0.7B | BF16 (native)maker’s file | 173–260 tok/s | 256K | Unified memory | |
| ●Runs well | Qwen3-Embedding-0.6B Alibaba Qwen | 0.6B | BF16 (native)maker’s file | 128–192 tok/s | 32K | Unified memory | |
| ●Runs well | bge-reranker-v2-m3 BAAI | 0.6B | FP32 (native)maker’s file | 89–133 tok/s | 8K | Unified memory | |
| ●Runs well | bge-m3-unsupervised BAAI | 0.6B | FP32 (native)maker’s file | 89–133 tok/s | 8K | Unified memory | |
| ●Runs well | bge-large-en-v1.5 BAAI | 0.3B | FP32 (native)maker’s file | 196–294 tok/s | 512 | Unified memory | |
| ●Runs well | bge-reranker-base BAAI | 0.3B | FP32 (native)maker’s file | 241–362 tok/s | 514 | Unified memory | |
| ●Runs well | bge-base-en-v1.5 BAAI | 0.1B | FP32 (native)maker’s file | 598–896 tok/s | 512 | Unified memory | |
| ●Runs well | bge-small-en-v1.5 BAAI | 0B | FP32 (native)maker’s file | 1910–2866 tok/s | 512 | Unified memory |
Estimates from the makers’ Hugging Face repositories (as of 2026-11-06); filtered views aren’t indexed. How it’s estimated