All hardware / M5 16GB
With 16 GB unified memory, the M5 16GB runs 6 of 22 popular open models fully in fast memory at Q4_K_M or better (8K context). The largest that fit are Phi-4 14B (Q4_K_M), Gemma 4 12B (Q6_K), Qwen3.5 9B (Q8_0). Fastest: Gemma 4 E2B at about 38 tokens/sec and Ministral 3 3B at about 23 tokens/sec.
Check with your own RAM and context length| Model | Result | Best quant | Memory needed | Est. speed |
|---|---|---|---|---|
| Gemma 4 E2B | Runs on GPU | Q8_0 | 6.1 GB | 38 tok/s |
| Ministral 3 3B | Runs on GPU | Q8_0 | 4.8 GB | 23 tok/s |
| Gemma 4 E4B | Runs on GPU | Q8_0 | 9.3 GB | 19 tok/s |
| Phi-4 14B | Runs on GPU | Q4_K_M | 11.0 GB | 10 tok/s |
| Gemma 4 12B | Runs on GPU | Q6_K | 10.8 GB | 9.3 tok/s |
| Qwen3.5 9B | Runs on GPU | Q8_0 | 11.3 GB | 8.9 tok/s |
| Gemma 4 26B A4B | Lower quality fit | IQ2_M | 9.6 GB | 72 tok/s |
| gpt-oss-20b | Lower quality fit | Q3_K_M | 11.2 GB | 52 tok/s |
| Mistral Small 3.1 24B | Lower quality fit | IQ2_M | 9.9 GB | 11 tok/s |
| Qwen3.6 27B | Lower quality fit | IQ2_M | 10.2 GB | 10 tok/s |
| Qwen3.8 27B | Lower quality fit | IQ2_M | 10.5 GB | 9.8 tok/s |
| Granite 4.2 30B | Lower quality fit | IQ2_M | 10.7 GB | 9.3 tok/s |
| Gemma 4 31B | Too big | Q4_K_M | 19.8 GB | — |
| Qwen3.6 35B-A3B | Too big | Q4_K_M | 22.2 GB | — |
| Hermes 4.3 36B | Too big | Q4_K_M | 23.9 GB | — |
| 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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