Framework Desktop Ryzen AI Max+ 395 64GB
64 GB unified · 256 GB/s
Prices
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No retailer in this market lists it right now.
What it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 28.5 GB | 256k | 5tok/sest. | 364 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | fits | 40.1 GB | 256k | 23tok/sest. | 962 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 28.1 GB | 256k | 5tok/sest. | 364 tok/s | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | fits | 46.3 GB | 66k105k with q8 cache | 32tok/sest. | 2430 tok/s | chat, coding |
| Gemma 4 31B | Q8_0 | fits | 32.6 GB | 190k256k with q8 cache | 4tok/sest. | 317 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | fits | 38.5 GB | 350k556k with q8 cache | 33tok/sest. | 1257 tok/s | chat, coding, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.4 GB | 256k | 26tok/sest. | 3116 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 28.1 GB | 256k | 5tok/sest. | 364 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.2 GB | 256k | 19tok/sest. | 2375 tok/s | chat |
| GLM 4.5 Air Z.ai | Q2_K | fits | 44.5 GB | 26k49k with q8 cache | 10tok/sest. | 480 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | fits | 46.3 GB | 66k106k with q8 cache | 41tok/sest. | 3055 tok/s | chat, coding, agents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.4 GB | 256k | 26tok/sest. | 3116 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 30.9 GB | 198k | 15tok/sest. | 1744 tok/s | – |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 25.4 GB | 147k268k with q8 cache | 5tok/sest. | 410 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 33.5 GB | 256k | 25tok/sest. | 3247 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q6_K | fits | 38.6 GB | 699k953k with q8 cache | 33tok/sest. | 2962 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.3 GB | 128k | 32tok/sest. | 2256 tok/s | chat, coding |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 31.8 GB | 170k256k with q8 cache | 21tok/sest. | 2255 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 35.3 GB | 40k | 4tok/sest. | 281 tok/s | – |
| Gemma 4 12B | Q8_0 | fits | 13.1 GB | 256k | 11tok/sest. | 827 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.0 GB | 256k | 14tok/sest. | 1048 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 25.4 GB | 128k | 5tok/sest. | 410 tok/s | – |
| Gemma 3 27B | Q8_0 | fits | 28.6 GB | 128k | 5tok/sest. | 369 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 35.3 GB | 57k106k with q8 cache | 4tok/sest. | 293 tok/s | – |
| Llama 3.3 70B Meta | Q4_K_M | fits | 42.9 GB | 23k44k with q8 cache | 3tok/sest. | 137 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.5 GB | 208k256k with q8 cache | 9tok/sest. | 680 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 16.7 GB | 40k | 8tok/sest. | 632 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.1 GB | 128k | 14tok/sest. | 1106 tok/s | – |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 40k | 14tok/sest. | 1106 tok/s | – |
| Phi-4 14B Microsoft | Q8_0 | fits | 16.9 GB | 16k | 8tok/sest. | 636 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.3 GB | 256k | 29tok/sest. | 2109 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.3 GB | 256k | 14tok/sest. | 1033 tok/s | – |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.8 GB | 128k | 13tok/sest. | 1026 tok/s | – |
| Gemma 4 E4B | Q8_0 | fits | 8.7 GB | 128k | 17tok/sest. | 1270 tok/s | chat |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.6 GB | 125k | 58tok/sest. | 7411 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 8.0 GB | 128k | 18tok/sest. | 1142 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 91.7 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.3 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 74.6 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 72.9 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.0 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 60.2 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- Chip
- Ryzen AI Max+ 395 (Radeon 8060S)
- Memory bus
- 256-bit
- Memory bandwidth
- 256 GB/s
- FP16 compute
- 59.4 TFLOPS
- Software
- ROCm
- Unified memory
- 64 GB
- GPU can use by default
- 48 GB
- GPU can use, tuned
- 56 GB
- Operating system
- linux
- Processor
- Ryzen AI Max+ 395
- Storage
- 1000 GB