AMD · unified x86
AMD Ryzen AI Max+ 395 (Radeon 8060S)
AMD Ryzen AI Max+ 395 (Radeon 8060S) has 128 GB of VRAM at 256 GB/s — about 89.28 GiB usable after driver and compositor overhead. 2082 of 2118 indexed models fit at 64K context with q8_0 KV. Note only 96 GB of its 128 GB is allocatable to the GPU.
Spec sheet· bandwidth, theoreticalFrom the file· fit from summed bytesPredicted· speed
Memory
128 GB
LPDDR5X-8000
Bandwidth
256 GB/s
256-bit bus
Tensor FP16
—
dense
TDP
120 W
text 1788vision language 190audio tts 21image 2audio asr 39video 16embedding 26
What fits at 64K context
largest quantization that fits, per model · 2082 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| GLM-4.6-REAP-268B-A32BMoE | UD-IQ2_XXS | 269B | 83.03 GiB | 12.22 GiB | 95.99 GiB | 0.01 GiB | 4±37% |
| Solar-Open2-250BMoE | Q2_K | 250B | 88.87 GiB | 6.38 GiB | 95.97 GiB | 0.03 GiB | 6±37% |
| GLM-4.5MoE | IQ2_XXS | 358B | 83.01 GiB | 12.22 GiB | 95.97 GiB | 0.03 GiB | 4±37% |
| MiniMax-M2.7-BF16-ultra-uncensored-hereticMoE | I1-IQ3_XS | 229B | 86.92 GiB | 8.23 GiB | 95.84 GiB | 0.16 GiB | 5±37% |
| MiniMax-M2.1MoE | I1-IQ3_XS | 229B | 86.92 GiB | 8.23 GiB | 95.84 GiB | 0.16 GiB | 5±37% |
| MiniMax-M2.5MoE | I1-IQ3_XS | 229B | 86.92 GiB | 8.23 GiB | 95.84 GiB | 0.16 GiB | 5±37% |
| GLM-4.7MoE | IQ2_XXS | 358B | 82.69 GiB | 12.22 GiB | 95.65 GiB | 0.35 GiB | 4±37% |
| Step-3.7-Flash | Q3_K_S | 201B | 81.55 GiB | 13.30 GiB | 95.58 GiB | 0.42 GiB | 2±25% |
| dots.llm1.instMoE | IQ3_XS | 143B | 61.71 GiB | 32.94 GiB | 95.37 GiB | 0.63 GiB | 2±37% |
| HarmonicHarlequin_v5-20B | I1-Q6_K | 33.3B | 25.46 GiB | 69.06 GiB | 95.26 GiB | 0.74 GiB | 2±25% |
| GLM-4.7-REAP-218B-A32BMoE | IQ3_XXS | 218B | 82.27 GiB | 12.22 GiB | 95.23 GiB | 0.77 GiB | 3±37% |
| GLM-4.6-Derestricted-v3MoE | IQ2_XXS | 357B | 82.26 GiB | 12.22 GiB | 95.22 GiB | 0.78 GiB | 4±37% |
| GLM-4.6MoE | IQ2_XXS | 357B | 82.26 GiB | 12.22 GiB | 95.22 GiB | 0.78 GiB | 4±37% |
| Qwen3-VL-235B-A22B-ThinkingMoE | UD-IQ3_XXS | 236B | 88.22 GiB | 6.24 GiB | 95.20 GiB | 0.80 GiB | 5±37% |
| Qwen3-VL-235B-A22B-InstructMoE | UD-IQ3_XXS | 236B | 88.15 GiB | 6.24 GiB | 95.12 GiB | 0.88 GiB | 5±37% |
| Qwen3.5-122B-A10B-hereticMoE | I1-Q6_K | 123B | 93.42 GiB | 0.80 GiB | 94.94 GiB | 1.06 GiB | 9±37% |
| MiMo-V2-FlashMoEKV unresolved | IQ2_M | 310B | 90.09 GiB | 3.98 GiB | 94.83 GiB | 1.17 GiB | 7±37% |
| Devstral-2-123B-Instruct-2512 | Q5_K_M | 125B | 82.25 GiB | 11.69 GiB | 94.80 GiB | 1.20 GiB | 2±25% |
| Mistral-Medium-3.5-128B | I1-Q5_K_M | 128B | 82.25 GiB | 11.69 GiB | 94.80 GiB | 1.20 GiB | 2±25% |
| XORTRON-NXTXPRTXXL | I1-Q5_K_M | 128B | 82.25 GiB | 11.69 GiB | 94.80 GiB | 1.20 GiB | 2±25% |
| ERNIE-4.5-300B-A47B-PT | UD-IQ1_M | 300B | 86.78 GiB | 7.17 GiB | 94.78 GiB | 1.22 GiB | 2±25% |
| MiMo-V2.5MoEKV unresolved | UD-IQ2_M | 311B | 89.93 GiB | 3.98 GiB | 94.66 GiB | 1.34 GiB | 7±37% |
| step-3.5-flash | Q3_K_S | 199B | 80.06 GiB | 13.30 GiB | 94.09 GiB | 1.91 GiB | 2±25% |
| Mistral-Small-4-119B-2603MoE | UD-Q6_K | 119B | 92.60 GiB | 0.75 GiB | 94.08 GiB | 1.92 GiB | 9±37% |
| Dolphin3.0-R1-Mistral-24B | F32 | 23.6B | 87.82 GiB | 5.31 GiB | 93.95 GiB | 2.05 GiB | 2±25% |
| Dolphin3.0-Mistral-24B | F32 | 23.6B | 87.82 GiB | 5.31 GiB | 93.95 GiB | 2.05 GiB | 2±25% |
| Mistral-Small-24B-Instruct-2501-abliterated | F32 | 23.6B | 87.82 GiB | 5.31 GiB | 93.95 GiB | 2.05 GiB | 2±25% |
| Mistral-Small-24B-Instruct-2501 | F32 | 23.6B | 87.82 GiB | 5.31 GiB | 93.95 GiB | 2.05 GiB | 2±25% |
| NVIDIA-Nemotron-3-Super-120B-A12B-BF16MoE | Q5_K_L | 124B | 90.28 GiB | 2.92 GiB | 93.89 GiB | 2.11 GiB | 7±37% |
| Step-3.5-Flash-REAP-121B-A11B | I1-Q5_K_M | 121B | 79.79 GiB | 13.30 GiB | 93.81 GiB | 2.19 GiB | 2±25% |
| Qwen3-235B-A22B-Thinking-2507MoE | IQ3_XXS | 235B | 86.68 GiB | 6.24 GiB | 93.66 GiB | 2.34 GiB | 5±37% |
| Qwen3-235B-A22B-Instruct-2507MoE | IQ3_XXS | 235B | 86.68 GiB | 6.24 GiB | 93.66 GiB | 2.34 GiB | 5±37% |
| DeepSeek-V4-FlashMoE | Q2_K | 291B | 92.86 GiB | 0.03 GiB | 93.64 GiB | 2.36 GiB | 10±37% |
| Laguna-S-2.1MoE | UD-Q6_K | 118B | 91.19 GiB | 1.67 GiB | 93.58 GiB | 2.42 GiB | 8±37% |
| Qwen3.5-397B-A17BMoE | IQ1_M | 403B | 91.53 GiB | 1.00 GiB | 93.28 GiB | 2.72 GiB | 10±37% |
| command-a-plus-05-2026-bf16MoE | Q3_K_S | 219B | 91.28 GiB | 1.29 GiB | 93.27 GiB | 2.73 GiB | 7±37% |
| Kimi-Linear-48B-A3B-InstructMoE | BF16 | 49.1B | 91.54 GiB | 1.01 GiB | 93.25 GiB | 2.75 GiB | 2±25% |
| Behemoth-X-123B-v2 | Q5_K_M | 123B | 80.55 GiB | 11.69 GiB | 93.09 GiB | 2.91 GiB | 2±25% |
| Mistral-Large-Instruct-2411 | Q5_K_M | 123B | 80.55 GiB | 11.69 GiB | 93.09 GiB | 2.91 GiB | 2±25% |
| MiniMax-M2MoE | IQ3_XXS | 229B | 83.91 GiB | 8.23 GiB | 92.83 GiB | 3.17 GiB | 5±37% |
| DeepSeek-Coder-V2-Instruct-0724MoE | IQ3_XS | 236B | 89.69 GiB | 2.24 GiB | 92.67 GiB | 3.33 GiB | 7±37% |
| DeepSeek-V2.5MoE | IQ3_XS | 236B | 89.69 GiB | 2.24 GiB | 92.67 GiB | 3.33 GiB | 7±37% |
| DeepSeek-Coder-V2-InstructMoE | IQ3_XS | 236B | 89.69 GiB | 2.24 GiB | 92.67 GiB | 3.33 GiB | 7±37% |
| grok-2MoE | UD-IQ1_S | 270B | 82.82 GiB | 8.50 GiB | 92.17 GiB | 3.83 GiB | 2±37% |
| xLAM-8x7b-rMoE | BF16 | 46.7B | 86.99 GiB | 4.25 GiB | 91.98 GiB | 4.02 GiB | 3±37% |
| Nex-N2-ProMoE | IQ1_M | 397B | 90.02 GiB | 1.00 GiB | 91.77 GiB | 4.23 GiB | 10±37% |
| Trinity-Large-PreviewMoE | IQ2_XXS | 399B | 88.58 GiB | 2.41 GiB | 91.71 GiB | 4.29 GiB | 9±37% |
| Trinity-Large-TrueBaseMoE | IQ2_XXS | 399B | 88.58 GiB | 2.41 GiB | 91.71 GiB | 4.29 GiB | 9±37% |
| Gemma-4-Dark-Gemistry-31B | Q6_K | 32.7B | 84.44 GiB | 5.94 GiB | 91.16 GiB | 4.84 GiB | 2±25% |
| Qwen3-235B-A22B-abliteratedMoE | I1-IQ3_XXS | 235B | 84.17 GiB | 6.24 GiB | 91.14 GiB | 4.86 GiB | 5±37% |
| Codestral-22B-v0.1 | F32 | 22.2B | 82.88 GiB | 7.44 GiB | 91.08 GiB | 4.92 GiB | 2±25% |
| Mixtral-8x22B-v0.1MoE | F32 | 141B | 82.84 GiB | 7.44 GiB | 91.04 GiB | 4.96 GiB | 3±37% |
| GLM-4.5-Air-REAP-82B-A12BMoE | Q8_0 | 81.9B | 84.17 GiB | 6.11 GiB | 91.00 GiB | 5.00 GiB | 5±37% |
| Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP | Q6_K | 27.8B | 88.00 GiB | 2.13 GiB | 90.89 GiB | 5.11 GiB | 2±25% |
| Llama-4-Scout-17B-16E-InstructMoEKV unresolved | Q6_K_L | 109B | 83.13 GiB | 6.38 GiB | 90.23 GiB | 5.77 GiB | 5±37% |
| MiniMax-M2.1-REAP-139B-A10BMoE | I1-Q4_1 | 139B | 81.21 GiB | 8.23 GiB | 90.13 GiB | 5.87 GiB | 5±37% |
| m51Lab-MiniMax-M2.7-REAP-139B-A10BMoE | I1-Q4_1 | 139B | 81.21 GiB | 8.23 GiB | 90.13 GiB | 5.87 GiB | 5±37% |
| gpt-oss-20b-hereticMoE | Q5_1 | 20.9B | 88.57 GiB | 0.81 GiB | 90.06 GiB | 5.94 GiB | 5±37% |
| Huihui-gpt-oss-20b-BF16-abliteratedMoE | Q5_1 | 20.9B | 88.57 GiB | 0.81 GiB | 90.06 GiB | 5.94 GiB | 5±37% |
| CalmeRys-78B-Orpo-v0.1 | Q8_0 | 78.0B | 77.16 GiB | 11.42 GiB | 89.41 GiB | 6.59 GiB | 2±25% |
Speed is modeled, not measured: decode is memory-bandwidth bound, so tokens per second is bytes read per token against achievable bandwidth. Mixture-of-experts models carry a wider band because only the routed experts are read each step, and few have been measured publicly.
Questions people ask
- What AI models can a AMD Ryzen AI Max+ 395 (Radeon 8060S) run?
- 2082 of 2118 indexed open-weight models fit a AMD Ryzen AI Max+ 395 (Radeon 8060S) at 65,536 context with q8_0 KV cache, the largest being GLM-4.6-REAP-268B-A32B at UD-IQ2_XXS. That covers text, vision-language, image, video and speech models.
- How much usable memory does a AMD Ryzen AI Max+ 395 (Radeon 8060S) actually have?
- Its nameplate is 128 GB, but about 89.28 GiB is available to a model once driver and compositor overhead is accounted for, and only 96 GB of the pool can be allocated to the GPU at all.
- Is a AMD Ryzen AI Max+ 395 (Radeon 8060S) fast for local AI?
- Its memory bandwidth is 256 GB/s, and that figure — not teraflops — is what governs token generation speed. Capacity decides what you can run; bandwidth decides how fast it runs.