AMD · workstation
Radeon Pro W6400
Radeon Pro W6400 has 4 GB of VRAM at 128 GB/s — about 3.72 GiB usable after driver and compositor overhead. 484 of 2118 indexed models fit at 32K context with q8_0 KV.
Spec sheet· bandwidth, theoreticalFrom the file· fit from summed bytesPredicted· speed
Memory
4 GB
GDDR6
Bandwidth
128 GB/s
64-bit bus
Tensor FP16
—
dense
TDP
50 W
$229 MSRP
text 367vision language 42audio asr 35audio tts 18embedding 20video 2
What fits at 32K context
largest quantization that fits, per model · 484 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| LFM2-2.6B | Q8_0 | 2.6B | 2.55 GiB | 0.27 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| LFM2-2.6B-Transcript | Q8_0 | 2.6B | 2.55 GiB | 0.27 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| LFM2-VL-3B | Q8_0 | 3.0B | 2.55 GiB | 0.27 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Llama-Doctor-3.2-3B-Instruct | I1-IQ2_XXS | 3.2B | 0.95 GiB | 1.86 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Llama-3.2-3B-Instruct-roleplay-tuned | I1-IQ2_XXS | 3.2B | 0.95 GiB | 1.86 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Llama-3.2-3B-Instruct-heretic-ablitered-uncensored | I1-IQ2_XXS | 3.2B | 0.95 GiB | 1.86 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Llama3.2-3B-creative-writer-v0.1 | I1-IQ2_XXS | 3.2B | 0.95 GiB | 1.86 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Firefly-V3.2 | I1-IQ2_XXS | 3.2B | 0.95 GiB | 1.86 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Firefly-V3 | I1-IQ2_XXS | 3.2B | 0.95 GiB | 1.86 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| G9v3-3B | Q4_K_L | 3.0B | 1.96 GiB | 0.86 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| Holo-3.1-4B | I1-IQ3_M | 5.2B | 2.27 GiB | 0.53 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| AfriqueQwen3.5-4B | I1-IQ3_M | 5.2B | 2.27 GiB | 0.53 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| TimeOmni-1-4B | I1-IQ3_M | 5.2B | 2.27 GiB | 0.53 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| granite-4.0-7B-A1B-Creative-v0.1MoE | I1-IQ3_S | 6.7B | 2.71 GiB | 0.13 GiB | 3.71 GiB | 0.01 GiB | 77±37% |
| SmolLM3-3B | IQ4_XS | 3.1B | 1.61 GiB | 1.20 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen3.5-4B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING | I1-IQ4_XS | 4.5B | 2.27 GiB | 0.53 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen3.5-4B-SOMPOA-heresy-v2 | I1-IQ4_XS | 4.5B | 2.27 GiB | 0.53 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen3.5-4B-SOMPOA-heresy | I1-IQ4_XS | 4.5B | 2.27 GiB | 0.53 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen3.5-4B-Safety-Thinking | I1-IQ4_XS | 4.2B | 2.27 GiB | 0.53 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Huihui-Qwen3.5-4B-abliterated | I1-IQ4_XS | 4.5B | 2.27 GiB | 0.53 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Darkidol-Ballad-4B | I1-IQ4_XS | 4.5B | 2.27 GiB | 0.53 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen3-1.7B | IQ3_M | 2.0B | 0.96 GiB | 1.86 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| Nanbeige4.1-3B | Q3_K_S | 3.9B | 1.73 GiB | 1.06 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| OpenClaude-1.7B-Merged | IQ4_XS | 1.7B | 0.96 GiB | 1.86 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| Gemma-3-4b-it-Uncensored-DBL-X | I1-IQ4_XS | 4.7B | 2.29 GiB | 0.50 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| AMD-OLMo-1B-SFT-DPO | Q4_K_M | 1.2B | 0.68 GiB | 2.13 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| granite-speech-4.1-2b | Q4_K_M | 2.3B | 1.49 GiB | 1.33 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| granite-4.0-1b-speech | Q4_K_M | 2.3B | 1.49 GiB | 1.33 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| Darwin-4B-Chimera | I1-IQ4_XS | 4.0B | 2.11 GiB | 0.68 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| granite-3.1-2b-instruct | Q4_1 | 2.5B | 1.48 GiB | 1.33 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| Unlimited-OCRMoEKV unresolved | Q4_K_M | 3.3B | 1.82 GiB | 1.00 GiB | 3.70 GiB | 0.02 GiB | 36±37% |
| dolphin-2_6-phi-2 | Q8_0 | 2.8B | 2.75 GiB | 0.00 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen3-VL-Reranker-2B | IQ4_XS | 2.1B | 0.95 GiB | 1.86 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| Atomight-V2.5-1.7B | IQ4_XS | 1.7B | 0.95 GiB | 1.86 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| OpenCaption-2B-VL-SFT-v1.0 | IQ4_XS | 2.1B | 0.95 GiB | 1.86 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| gaon-1.7b-v2-instruct | IQ4_XS | 1.7B | 0.95 GiB | 1.86 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| gaon-1.7b-v2-translate | IQ4_XS | 1.7B | 0.95 GiB | 1.86 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| Qwen3.5-4B-NSFW-ARA-Heretic-Literotica | I1-Q3_K_L | 4.2B | 2.26 GiB | 0.53 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen3.5-4B-RpRMax-v1 | I1-Q3_K_L | 4.7B | 2.26 GiB | 0.53 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Holo-3.1-4B-uncensored-heretic | I1-Q3_K_L | 4.5B | 2.26 GiB | 0.53 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| GRaPE-2-Mini | I1-Q3_K_L | 4.7B | 2.26 GiB | 0.53 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen3.5-DPO-4B-2 | I1-Q3_K_L | 4.2B | 2.26 GiB | 0.53 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwen3.5-4B-Base | Q3_K_L | 4.7B | 2.26 GiB | 0.53 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated | I1-Q3_K_L | 4.7B | 2.26 GiB | 0.53 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Qwopus3.5-4B-v3-heretic | I1-Q3_K_L | 4.5B | 2.26 GiB | 0.53 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Aureth-4B-Qwen3.5 | I1-Q3_K_L | 4.5B | 2.26 GiB | 0.53 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Parable-Granite-4.1-3B-Claude-Fable-5 | I1-IQ3_S | 3.4B | 1.47 GiB | 1.33 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| granite-3.1-3b-a800m-instructMoE | Q4_K_S | 3.3B | 1.77 GiB | 1.06 GiB | 3.70 GiB | 0.02 GiB | 30±37% |
| Llama-3.2-3B-Instruct-abliterated | I1-IQ1_S | 3.6B | 0.93 GiB | 1.86 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Supertron2-Reranker-2B | I1-IQ4_XS | 2.1B | 0.94 GiB | 1.86 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Uni-MuMER-Qwen3-VL-2B | I1-IQ4_XS | 2.1B | 0.94 GiB | 1.86 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Qwen3-VL-2B-Thinking | IQ4_XS | 2.1B | 0.94 GiB | 1.86 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Qwen3-VL-2B-Instruct | IQ4_XS | 2.1B | 0.94 GiB | 1.86 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Lightning-1.7B | IQ4_XS | 1.7B | 0.94 GiB | 1.86 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| DorsetHeatwaveLLM2 | I1-IQ4_XS | 1.7B | 0.94 GiB | 1.86 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| gemma-3-4b-it-qat | Q4_0 | 3.9B | 2.35 GiB | 0.42 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| granite-4.0-micro | Q3_K_S | 3.4B | 1.46 GiB | 1.33 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| granite-4.1-3b | Q3_K_S | 3.4B | 1.46 GiB | 1.33 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| granite-4.0-micro-base | Q3_K_S | 3.4B | 1.46 GiB | 1.33 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| granite-3.3-2b-instruct | Q4_K_L | 2.5B | 1.46 GiB | 1.33 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
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 Radeon Pro W6400 run?
- 484 of 2118 indexed open-weight models fit a Radeon Pro W6400 at 32,768 context with q8_0 KV cache, the largest being LFM2-2.6B at Q8_0. That covers text, vision-language, image, video and speech models.
- How much usable memory does a Radeon Pro W6400 actually have?
- Its nameplate is 4 GB, but about 3.72 GiB is available to a model once driver and compositor overhead is accounted for.
- Is a Radeon Pro W6400 fast for local AI?
- Its memory bandwidth is 128 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.