AMD · consumer
Radeon RX 6400
Radeon RX 6400 has 4 GB of VRAM at 128 GB/s — about 3.72 GiB usable after driver and compositor overhead. 606 of 2118 indexed models fit at 8K context with f16 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
53 W
$159 MSRP
text 480vision language 47audio tts 19audio asr 36embedding 22video 2
What fits at 8K context
largest quantization that fits, per model · 606 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| OpenCoder-1.5B-Instruct | Q3_K_L | 1.9B | 1.18 GiB | 1.64 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Qianfan-OCR | Q2_K | 4.7B | 1.68 GiB | 1.13 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| medgemma-4b-it | Q4_K_L | 4.3B | 2.47 GiB | 0.33 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| amoral-gemma3-4B-v1 | Q4_K_L | 4.3B | 2.47 GiB | 0.33 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| gemma-3-4b-it-abliterated | Q4_K_L | 4.3B | 2.47 GiB | 0.33 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| gemma-3-4b-it | Q4_K_L | 4.3B | 2.47 GiB | 0.33 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Darwin-4B-Chimera | I1-Q3_K_L | 4.0B | 2.09 GiB | 0.71 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| LFM2-2.6B-Exp | Q8_0 | 2.6B | 2.68 GiB | 0.13 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| CycleGRPO-4B | I1-Q2_K | 4.8B | 1.67 GiB | 1.13 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Jan-v3-4B-base-instruct | Q2_K | 4.4B | 1.67 GiB | 1.13 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Jan-code-4b | Q2_K | 4.4B | 1.67 GiB | 1.13 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen3-4B-Base | Q2_K | 4.0B | 1.67 GiB | 1.13 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| SmolLM2-1.7B-Instruct | Q6_K | 1.7B | 1.31 GiB | 1.50 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| Qwen2.5-3B-Instruct-abliterated | I1-IQ3_XXS | 3.1B | 2.51 GiB | 0.28 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| EVA-Yi-1.5-9B-32K-V1 | I1-IQ1_M | 8.8B | 2.03 GiB | 0.75 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Yi-Coder-9B-Chat | IQ1_M | 8.8B | 2.03 GiB | 0.75 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Gemma-3-4b-it-Uncensored-DBL-X | I1-Q4_K_S | 4.7B | 2.41 GiB | 0.38 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Tini-Cybersec-8B-A1BMoE | IQ2_M | 8.5B | 2.71 GiB | 0.09 GiB | 3.70 GiB | 0.02 GiB | 74±37% |
| GrammarCoder-7B-Base | I1-IQ2_XS | 7.6B | 2.31 GiB | 0.44 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| dolphin-2_6-phi-2 | Q8_0 | 2.8B | 2.75 GiB | 0.00 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| ultravox-v0_5-llama-3_2-1b | Q4_K_M | 683M | 0.75 GiB | 2.00 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| orpheus-3b-0.1-pretrained | Q2_K_L | 3.8B | 1.92 GiB | 0.88 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| gemma-4-E2B-it-abliterated | I1-Q2_K_S | 5.1B | 2.72 GiB | 0.08 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| gemma-4-E2B-it-qat-q4_0-unquantized-heretic | I1-Q2_K_S | 5.1B | 2.72 GiB | 0.08 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated | I1-Q2_K_S | 5.1B | 2.72 GiB | 0.08 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| Gemma4_E2B_Abliterated_Baked_HF_Ready | I1-Q2_K_S | 5.1B | 2.72 GiB | 0.08 GiB | 3.70 GiB | 0.02 GiB | 28±26.5% |
| granite-speech-4.1-2b-plus | Q8_0 | 2.1B | 2.18 GiB | 0.63 GiB | 3.69 GiB | 0.03 GiB | 28±26.5% |
| MiniCPM-V-4 | Q5_1 | 4.1B | 2.53 GiB | 0.25 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Fara1.5-4B | Q4_K_S | 4.5B | 2.53 GiB | 0.25 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| AREX-Turbo | Q4_K_S | 4.5B | 2.53 GiB | 0.25 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Llama-3.2-3B-Instruct-uncensored | IQ4_XS | 3.6B | 1.91 GiB | 0.88 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| DeepHat-V1-7B-Heretic-Abliterated | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| ShizhenGPT-7B-VL | I1-IQ2_XS | 8.3B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| HuatuoGPT-o1-7B | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| MathSmith-DS-Qwen-7B-LongCoT | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| AstraGPTCoder-7B | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-Ghidra-v2 | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| EsDrac-v1-7B | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Hemlock-Apothecary-7B-GRPO-e3 | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| openhands-lm-7b-v0.1 | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Hemlock2-Coder-7B-GRPO | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| shellwhiz-7b | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-abliterated | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-OBLITERATED-advanced | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Qwen-STEM-Specialist-7B | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| VulnLLM-R-7B | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Garnet-OCR-7B-0422 | I1-IQ2_XS | 8.3B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| UwU-7B-Instruct | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Video-R1-7B | I1-IQ2_XS | 8.3B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| HARC-Qwen2.5-7B-Instruct | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Abliterated | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Bozdogan-7B | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Crazy-AI-Model | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| turbo-ai-7b | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| DeepSeek-R1-Distill-Qwen-7B-abliterated-v2 | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Ghosty-7B | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| SP-7B | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-Uncensored | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| Qwen2.5-VL-7B-Instruct-abliterated | I1-IQ2_XS | 8.3B | 2.30 GiB | 0.44 GiB | 3.69 GiB | 0.03 GiB | 29±26.5% |
| DeepSeek-R1-Distill-Qwen-8B-Abliterated | I1-IQ2_XS | 7.6B | 2.30 GiB | 0.44 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 RX 6400 run?
- 606 of 2118 indexed open-weight models fit a Radeon RX 6400 at 8,192 context with f16 KV cache, the largest being OpenCoder-1.5B-Instruct at Q3_K_L. That covers text, vision-language, image, video and speech models.
- How much usable memory does a Radeon RX 6400 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 RX 6400 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.