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 @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 30.2 GB | 256k | 5tok/sest. | 335 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | fits | 40.8 GB | 256k | 20tok/sest. | 786 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 29.8 GB | 256k | 5tok/sest. | 335 tok/s | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | fits | 47.0 GB | 66k105k with q8 cache | 26tok/sest. | 1895 tok/s | chat, coding |
| Gemma 4 31B | Q8_0 | fits | 34.7 GB | 190k256k with q8 cache | 4tok/sest. | 299 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | fits | 39.1 GB | 350k556k with q8 cache | 27tok/sest. | 874 tok/s | chat, coding, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.0 GB | 256k | 22tok/sest. | 2394 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 29.8 GB | 256k | 5tok/sest. | 335 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.8 GB | 256k | 17tok/sest. | 2130 tok/s | chat |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | fits | 47.0 GB | 66k106k with q8 cache | 32tok/sest. | 2255 tok/s | chat, coding, agents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.0 GB | 256k | 22tok/sest. | 2394 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 32.3 GB | 198k | 12tok/sest. | 1250 tok/s | – |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 29.3 GB | 147k268k with q8 cache | 5tok/sest. | 354 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 33.8 GB | 256k | 24tok/sest. | 2732 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q6_K | fits | 39.0 GB | 699k953k with q8 cache | 30tok/sest. | 2063 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.0 GB | 128k | 26tok/sest. | 1787 tok/s | chat, coding |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 34.2 GB | 170k256k with q8 cache | 13tok/sest. | 1101 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 41.4 GB | 40k | 3tok/sest. | 208 tok/s | – |
| Gemma 4 12B | Q8_0 | fits | 13.6 GB | 256k | 10tok/sest. | 778 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.9 GB | 256k | 13tok/sest. | 969 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 29.3 GB | 128k | 5tok/sest. | 354 tok/s | – |
| Gemma 3 27B | Q8_0 | fits | 30.6 GB | 128k | 4tok/sest. | 356 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 41.4 GB | 57k106k with q8 cache | 3tok/sest. | 239 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 19.4 GB | 208k256k with q8 cache | 7tok/sest. | 538 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 20.6 GB | 40k | 7tok/sest. | 484 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.6 GB | 128k | 10tok/sest. | 798 tok/s | – |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.6 GB | 40k | 10tok/sest. | 798 tok/s | – |
| Phi-4 14B Microsoft | Q8_0 | fits | 21.7 GB | 16k | 6tok/sest. | 486 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.2 GB | 256k | 25tok/sest. | 1813 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.6 GB | 256k | 10tok/sest. | 771 tok/s | – |
| Granite 4.2 8B IBM | Q8_0 | fits | 14.7 GB | 128k | 10tok/sest. | 734 tok/s | – |
| Gemma 4 E4B | Q8_0 | fits | 9.5 GB | 128k | 15tok/sest. | 1217 tok/s | chat |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 10.9 GB | 125k | 32tok/sest. | 3982 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 11.1 GB | 128k | 13tok/sest. | 843 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 93.9 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.7 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 75.3 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 78.9 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.3 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 61.2 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 48.9 GB | 26k49k with q8 cache | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 50.6 GB | 23k44k with q8 cache | – | – | – |
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