Framework Desktop Ryzen AI Max+ 395 64GB
64 GB unified · 256 GB/s
Prices
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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 @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 36.7 GB | 256k | 4tok/sest. | 256 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | fits | 43.7 GB | 256k | 13tok/sest. | 454 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 36.3 GB | 256k | 4tok/sest. | 256 tok/s | – |
| Gemma 4 31B | Q8_0 | fits | 42.7 GB | 190k256k with q8 cache | 3tok/sest. | 243 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | fits | 41.8 GB | 350k556k with q8 cache | 16tok/sest. | 394 tok/s | chat, coding, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 38.5 GB | 256k | 15tok/sest. | 1242 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 36.3 GB | 256k | 4tok/sest. | 256 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 29.3 GB | 256k | 12tok/sest. | 1508 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 38.5 GB | 256k | 15tok/sest. | 1242 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 37.8 GB | 198k | 7tok/sest. | 586 tok/s | – |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 44.9 GB | 147k268k with q8 cache | 3tok/sest. | 229 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.9 GB | 256k | 20tok/sest. | 1671 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q6_K | fits | 40.3 GB | 699k953k with q8 cache | 24tok/sest. | 932 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 15.8 GB | 128k | 15tok/sest. | 976 tok/s | chat, coding |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 43.8 GB | 170k256k with q8 cache | 5tok/sest. | 361 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 15.7 GB | 256k | 9tok/sest. | 627 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.5 GB | 256k | 10tok/sest. | 745 tok/s | – |
| Gemma 3 27B | Q8_0 | fits | 38.7 GB | 128k | 4tok/sest. | 313 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 44.9 GB | 128k | 3tok/sest. | 229 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 34.9 GB | 208k256k with q8 cache | 4tok/sest. | 294 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 36.2 GB | 40k | 4tok/sest. | 250 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 27.7 GB | 128k | 5tok/sest. | 378 tok/s | – |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 27.7 GB | 40k | 5tok/sest. | 378 tok/s | – |
| Phi-4 14B Microsoft | Q8_0 | fits | 41.1 GB | 16k | 3tok/sest. | 251 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 9.8 GB | 256k | 16tok/sest. | 1161 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 27.0 GB | 256k | 5tok/sest. | 383 tok/s | – |
| Granite 4.2 8B IBM | Q8_0 | fits | 30.3 GB | 128k | 5tok/sest. | 343 tok/s | – |
| Gemma 4 E4B | Q8_0 | fits | 12.7 GB | 128k | 12tok/sest. | 1045 tok/s | chat |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 15.9 GB | 125k | 11tok/sest. | 1397 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 23.7 GB | 128k | 6tok/sest. | 412 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.5 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.3 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.1 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 102.7 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 53.6 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 49.8 GB | 66k105k with q8 cache | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 65.1 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 66.8 GB | 26k49k with q8 cache | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 49.8 GB | 66k106k with q8 cache | – | – | – |
| Qwen3 32B Alibaba Qwen | Q4_K_M | won't run | 52.0 GB | 40k | – | – | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | won't run | 52.0 GB | 112k128k with q8 cache | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.2 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