Hardware
Apple M5
Apple M5 has 16 / 24 / 32 GB Unified and 153 GB/s. See which open models fit, at which quant, and roughly how fast. Figures below use the default memory (16 GB). Updated 2026-10-17.
Memory16 / 24 / 32 GB Unified
Bandwidth153 GB/s
Kindmac
Year2025
Apple: 153 GB/s, 16/24/32GB unified memory. Source.
RSS for new models on this device
Models that fit
| Model | Verdict | Quant | Context | tok/s |
|---|---|---|---|---|
| GLM 4.7 Flash REAP 23B A3B 23.0B | Tight fit | Q3_K_S | 8K | 47–64 |
| Kwaipilot KAT Coder V2.5 Dev 34.7B | Tight fit | IQ2_S | 4K | 40–55 |
| Qwen3.5 35B A3B 34.7B | Tight fit | UD-IQ2_XXS | 8K | 77–105 |
| Qwen3.6 35B A3B 34.7B | Tight fit | UD-IQ2_XXS | 8K | 77–104 |
| Qwen2.5 7B Instruct 7.6B | Runs | Q8_0 | 8K | 9.8–13 |
| DeepSeek R1 Distill Qwen 7B 7.6B | Runs | Q8_0 | 8K | 9.8–13 |
| Qwen2.5 Coder 7B Instruct 128K 7.6B | Runs | Q8_0 | 8K | 9.8–13 |
| LFM2.5 24B A2B 24.0B | Tight fit | UD-IQ3_XXS | 8K | 59–81 |
| GLM 4.7 Flash 29.9B | Tight fit | UD-IQ2_XXS | 8K | 31–43 |
| gemma 4 26B A4B it 25.2B | Tight fit | UD-Q2_K_XL | 8K | 23–31 |
| gemma 4 E4B it qat 7.5B | Runs great | UD-Q4_K_XL | 8K | 17–23 |
| Qwen3 Coder 30B A3B Instruct 30.5B | Tight fit | UD-IQ2_XXS | 8K | 46–63 |
| Qwen3 30B A3B Instruct 2507 30.5B | Tight fit | UD-IQ2_XXS | 8K | 46–63 |
| Qwen3 VL 30B A3B Instruct 30.5B | Tight fit | UD-IQ2_XXS | 8K | 46–63 |
| Qwen3 30B A3B Thinking 2507 30.5B | Tight fit | UD-IQ2_XXS | 8K | 46–63 |
| LFM2.5 8B A1B 8.5B | Tight fit | UD-Q8_K_XL | 8K | 56–76 |
| Qwen3.5 4B 4.2B | Runs | BF16 | 8K | 9.7–13 |
| Phi 4 mini instruct 3.8B | Runs | BF16 | 8K | 9.6–13 |
| Phi 4 mini reasoning 3.8B | Runs | BF16 | 8K | 9.6–13 |
| Ministral 3 3B Instruct 2512 3.4B | Runs great | Q8_0 | 8K | 19–25 |
| Ministral 3 3B Reasoning 2512 3.4B | Runs | BF16 | 8K | 11–15 |
| granite 4.0 h micro 3.2B | Runs great | BF16 | 8K | 13–18 |
| Llama 3.2 3B Instruct 3.2B | Runs | BF16 | 8K | 11–16 |
| Qwen2.5 3B Instruct 3.1B | Runs great | F16 | 8K | 13–18 |
| Qwen2.5 VL 3B Instruct 3.1B | Runs great | BF16 | 8K | 13–18 |
| SmolLM3 3B 3.1B | Runs | BF16 | 8K | 12–17 |
| LFM2.5 2.6B 2.7B | Runs great | BF16 | 8K | 14–19 |
| LFM2.5 VL 3B 2.7B | Runs great | BF16 | 8K | 14–19 |
| Qwen3.5 2B 1.9B | Runs great | BF16 | 8K | 22–30 |
| DeepSeek R1 Distill Qwen 1.5B 1.8B | Runs great | BF16 | 8K | 22–30 |
| Qwen3 1.7B 1.7B | Runs great | BF16 | 8K | 19–26 |
| Qwen3 VL 2B Instruct 1.7B | Runs great | BF16 | 8K | 19–26 |
| Qwen3 VL 2B Thinking 1.7B | Runs great | BF16 | 8K | 19–26 |
| Qwen2.5 1.5B Instruct 1.5B | Runs great | F16 | 8K | 25–34 |
| Qwen2.5 Coder 1.5B Instruct 1.5B | Runs great | F16 | 8K | 25–34 |
| Llama 3.2 1B Instruct 1.2B | Runs great | BF16 | 8K | 31–42 |
| LFM2.5 1.2B Instruct 1.2B | Runs great | BF16 | 8K | 32–44 |
| gemma 3 1b it 1.0B | Runs great | BF16 | 8K | 38–52 |
| Qwen3.5 0.8B 0.75B | Runs great | BF16 | 8K | 52–71 |
| Qwen3 0.6B 0.60B | Runs great | BF16 | 8K | 39–54 |
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 M5 at Q3_K_S, 8K context, about 47–64 tok/s. Weights 9.59 GB plus 0.41 GB of KV cache — 10.4 GB of 11.0 GB usable. Weights shown in the verdict use GiB (the same 1024³ counting as GPU memory).