What can a AMD Mi50 32GB run?
32GB · 1000 GB/s · 240W · $495
Runs great30
Comfortable headroom — daily-driver territory.
| Model | Quant | Est. speed | Max context |
|---|---|---|---|
| deepseek moe 16b chat | FP16 | Infinity tok/s | — |
| qwen2 7b instruct | FP16 | Infinity tok/s | — |
| Qwen3-0.6B | FP16 | 499 tok/s | 33k |
| Qwen3-30B-A3B | Q5_K_M | 263 tok/s | 33k |
| Qwen3-Coder-30B-A3B | Q5_K_M | 263 tok/s | 49k |
| Gemma-3n-E4B | FP16 | 221 tok/s | 131k |
| SmolLM2-1.7B | FP16 | 182 tok/s | 8k |
| GPT-OSS-20B | Q8_0 | 162 tok/s | 50k |
| Llama-3.2-3B | FP16 | 96 tok/s | 131k |
| Phi-4-mini | FP16 | 81 tok/s | 131k |
| Gemma-3-4B | FP16 | 80 tok/s | 131k |
| Qwen3-4B | FP16 | 79 tok/s | 33k |
| Gemma-3-12B | Q8_0 | 45 tok/s | 122k |
| Mistral-7B-Instruct | FP16 | 43 tok/s | 33k |
| DeepSeek-R1-Distill-Qwen-7B | FP16 | 41 tok/s | 126k |
| Qwen2.5-Coder-7B | FP16 | 41 tok/s | 126k |
| Phi-4-14B | Q8_0 | 40 tok/s | 16k |
| DeepSeek-R1-Distill-Qwen-14B | Q8_0 | 39 tok/s | 104k |
| Llama-3.1-8B | FP16 | 39 tok/s | 119k |
| Qwen3-8B | FP16 | 39 tok/s | 33k |
| Qwen3-14B | Q8_0 | 35 tok/s | 33k |
| Codestral-22B | Q6_K | 34 tok/s | 33k |
| Qwen3-32B | Q4_K_M | 31 tok/s | 33k |
| DeepSeek-R1-Distill-Qwen-32B | Q4_K_M | 31 tok/s | 61k |
| GLM-4-32B | Q4_K_M | 31 tok/s | 61k |
| Mistral-Small-24B | Q6_K | 31 tok/s | 64k |
| Qwen3.8 | Q6_K | 28 tok/s | 47k |
| Qwen3.8 27B | Q6_K | 28 tok/s | 47k |
| Gemma-3-27B | Q6_K | 28 tok/s | 47k |
| qwen35 27B | Q6_K | 28 tok/s | 45k |
Tight squeeze2
It fits, but close the browser tabs and mind the context.
| Model | Quant | Est. speed | Max context |
|---|---|---|---|
| Llama-3.3-70B | IQ2_M | 26 tok/s | 31k |
| Qwen2.5-72B | IQ2_M | 25 tok/s | 27k |
Measured on this card2
Everything here was benchmarked on this exact card by someone who owns one — the tables above are our arithmetic; these numbers came off real machines.
Qwen3.8 Flash Next: fastest recorded generation is 31.67 tok/s — IQ1_S (UD) on 2× AMD Mi50 32GB in llama.cpp, measured from an empty context.