All hardware / M4 Pro 24GB
With 24 GB unified memory, the M4 Pro 24GB runs 9 of 22 popular open models fully in fast memory at Q4_K_M or better (8K context). The largest that fit are Gemma 4 26B A4B (Q4_K_M), Mistral Small 3.1 24B (Q4_K_M), gpt-oss-20b (Q5_K_M). Fastest: Gemma 4 26B A4B at about 71 tokens/sec and Gemma 4 E2B at about 67 tokens/sec.
Check with your own RAM and context length| Model | Result | Best quant | Memory needed | Est. speed |
|---|---|---|---|---|
| Gemma 4 26B A4B | Runs on GPU | Q4_K_M | 16.4 GB | 71 tok/s |
| Gemma 4 E2B | Runs on GPU | Q8_0 | 6.1 GB | 67 tok/s |
| gpt-oss-20b | Runs on GPU | Q5_K_M | 15.8 GB | 64 tok/s |
| Ministral 3 3B | Runs on GPU | Q8_0 | 4.8 GB | 41 tok/s |
| Gemma 4 E4B | Runs on GPU | Q8_0 | 9.3 GB | 34 tok/s |
| Qwen3.5 9B | Runs on GPU | Q8_0 | 11.3 GB | 16 tok/s |
| Phi-4 14B | Runs on GPU | Q6_K | 14.2 GB | 14 tok/s |
| Gemma 4 12B | Runs on GPU | Q8_0 | 13.8 GB | 13 tok/s |
| Mistral Small 3.1 24B | Runs on GPU | Q4_K_M | 16.4 GB | 11 tok/s |
| Qwen3.6 35B-A3B | Lower quality fit | IQ2_M | 12.8 GB | 150+ tok/s |
| Hermes 4.3 36B | Lower quality fit | IQ2_M | 14.2 GB | 13 tok/s |
| Qwen3.6 27B | Lower quality fit | Q3_K_M | 14.3 GB | 12 tok/s |
| Qwen3.8 27B | Lower quality fit | Q3_K_M | 14.7 GB | 12 tok/s |
| Granite 4.2 30B | Lower quality fit | Q3_K_M | 15.1 GB | 11 tok/s |
| Gemma 4 31B | Lower quality fit | Q3_K_M | 16.2 GB | 11 tok/s |
| Llama 3.3 70B | Too big | Q4_K_M | 45.9 GB | — |
| Llama 4 Scout | Too big | Q4_K_M | 68.1 GB | — |
| gpt-oss-120b | Too big | Q4_K_M | 72.0 GB | — |
| Qwen3.5 122B-A10B | Too big | Q4_K_M | 75.3 GB | — |
| Qwen3.8-Flash-Next | Too big | Q4_K_M | 107.8 GB | — |
| GLM-5.3-Flash | Too big | Q4_K_M | 196.0 GB | — |
| DeepSeek V4.1-Flash | Too big | Q4_K_M | 335.8 GB | — |
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