Framework Desktop Ryzen AI Max+ 395 128GB
128 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 @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q3_K_XL | fits | 86.6 GB | 256k | 3tok/sest. | 157 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | fits | 86.8 GB | 101k186k with q8 cache | 4tok/sest. | 289 tok/s | – |
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 32.4 GB | 256k | 4tok/sest. | 304 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q5_K_M | fits | 88.0 GB | 256k | 9tok/sest. | 632 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 31.9 GB | 256k | 4tok/sest. | 304 tok/s | – |
| gpt-oss 120B OpenAI | MXFP4 | fits | 62.5 GB | 128k | 15tok/sest. | 981 tok/s | chat |
| Qwen3 Coder Next Alibaba Qwen | Q8_0 | fits | 81.7 GB | 256k | 15tok/sest. | 1465 tok/s | chat |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q4_K_M | fits | 78.7 GB | 256k | 10tok/sest. | 735 tok/s | – |
| Gemma 4 31B | Q8_0 | fits | 37.4 GB | 256k | 4tok/sest. | 277 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q6_K | fits | 95.2 GB | 93k148k with q8 cache | 11tok/sest. | 622 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.9 GB | 256k | 19tok/sest. | 1829 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 31.9 GB | 256k | 4tok/sest. | 304 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 27.6 GB | 256k | 15tok/sest. | 1872 tok/s | chat |
| GLM 4.5 Air Z.ai | Q5_K_M | fits | 90.5 GB | 93k128k with q8 cache | 3tok/sest. | 192 tok/s | – |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.9 GB | 256k | 19tok/sest. | 1829 tok/s | chat, coding |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q8_0 | fits | 81.7 GB | 256k | 18tok/sest. | 1671 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 34.1 GB | 198k | 10tok/sest. | 907 tok/s | – |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 34.5 GB | 384k | 4tok/sest. | 299 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.2 GB | 256k | 22tok/sest. | 2255 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 50.4 GB | 1024k | 23tok/sest. | 1469 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 14.0 GB | 128k | 21tok/sest. | 1400 tok/s | chat, coding |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 37.4 GB | 256k | 9tok/sest. | 654 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 49.6 GB | 40k | 3tok/sest. | 155 tok/s | – |
| Gemma 4 12B | Q8_0 | fits | 14.3 GB | 256k | 10tok/sest. | 720 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.1 GB | 256k | 12tok/sest. | 881 tok/s | – |
| Gemma 3 27B | Q8_0 | fits | 33.3 GB | 128k | 4tok/sest. | 340 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 34.5 GB | 128k | 4tok/sest. | 299 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 49.6 GB | 128k | 3tok/sest. | 192 tok/s | – |
| Llama 3.3 70B Meta | Q8_0 | fits | 91.0 GB | 79k128k with q8 cache | 2tok/sest. | 92 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 24.5 GB | 256k | 6tok/sest. | 421 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 25.8 GB | 40k | 5tok/sest. | 369 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.3 GB | 128k | 8tok/sest. | 582 tok/s | – |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.3 GB | 40k | 8tok/sest. | 582 tok/s | – |
| Phi-4 14B Microsoft | Q8_0 | fits | 28.2 GB | 16k | 5tok/sest. | 370 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.4 GB | 256k | 21tok/sest. | 1527 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 18.1 GB | 256k | 8tok/sest. | 576 tok/s | – |
| Granite 4.2 8B IBM | Q8_0 | fits | 19.9 GB | 128k | 7tok/sest. | 532 tok/s | – |
| Gemma 4 E4B | Q8_0 | fits | 10.6 GB | 128k | 14tok/sest. | 1154 tok/s | chat |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.6 GB | 125k | 20tok/sest. | 2463 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 15.3 GB | 128k | 9tok/sest. | 625 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 96.7 GB | 55k99k with q8 cache | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.2 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
- 128 GB
- GPU can use by default
- 96 GB
- GPU can use, tuned
- 120 GB
- Operating system
- linux
- Processor
- Ryzen AI Max+ 395
- Storage
- 1000 GB