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. 475 of 2118 indexed models fit at 64K context with q4_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
53 W
$159 MSRP
vision language 42text 362audio asr 32embedding 20audio tts 17video 2
What fits at 64K context
largest quantization that fits, per model · 475 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| Qwen3.5-4B | IQ3_XS | 4.7B | 2.24 GiB | 0.56 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepHat-V1-7B-Heretic-Abliterated | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| ShizhenGPT-7B-VL | I1-IQ1_S | 8.3B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| HuatuoGPT-o1-7B | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| MathSmith-DS-Qwen-7B-LongCoT | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| AstraGPTCoder-7B | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-Ghidra-v2 | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| EsDrac-v1-7B | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Hemlock-Apothecary-7B-GRPO-e3 | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| openhands-lm-7b-v0.1 | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Hemlock2-Coder-7B-GRPO | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| shellwhiz-7b | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-abliterated | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-OBLITERATED-advanced | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen-STEM-Specialist-7B | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| VulnLLM-R-7B | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Garnet-OCR-7B-0422 | I1-IQ1_S | 8.3B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| UwU-7B-Instruct | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Video-R1-7B | I1-IQ1_S | 8.3B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| HARC-Qwen2.5-7B-Instruct | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Abliterated | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Bozdogan-7B | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Crazy-AI-Model | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| turbo-ai-7b | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepSeek-R1-Distill-Qwen-7B-abliterated-v2 | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Ghosty-7B | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| SP-7B | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-Uncensored | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-VL-7B-Instruct-abliterated | I1-IQ1_S | 8.3B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepSeek-R1-Distill-Qwen-8B-Abliterated | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-7B | IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-VL-7B-Instruct-heretic | I1-IQ1_S | 8.3B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| AWARES-Qwen2.5-VL-7B | I1-IQ1_S | 8.3B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| olmOCR-2-7B-1025 | I1-IQ1_S | 8.3B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-7B-Instruct-Uncensored | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Med-RwR | I1-IQ1_S | 8.3B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| EVA-Qwen2.5-7B-v0.1 | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| SpatialThinker-7B | I1-IQ1_S | 8.3B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Human-Like-Qwen2.5-7B-Instruct | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2-7B-Instruct | IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| alduin-4b-it-base | I1-Q4_1 | 4.3B | 2.40 GiB | 0.40 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| MQ-Coldbrew-Base | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Kepler-Reasoning-7B | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepSeek-R1-Distill-Qwen-7B-Uncensored | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepSeek-R1-STEM-Coder-7B | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Kepler-8B-Instruct-v2 | I1-IQ1_S | 7.6B | 1.77 GiB | 0.98 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Parable-Granite-4.1-3B-Claude-Fable-5 | I1-IQ3_XS | 3.4B | 1.40 GiB | 1.41 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| granite-4.0-micro | IQ3_XS | 3.4B | 1.40 GiB | 1.41 GiB | 3.71 GiB | 0.01 GiB | 28±26.5% |
| gemma-3-4b-it-roleplay-tuned-v1 | I1-Q4_1 | 4.3B | 2.39 GiB | 0.40 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| gemma-3-4b-it-roleplay-tuned-v2 | I1-Q4_1 | 4.3B | 2.39 GiB | 0.40 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| medgemma-1.5-4b-it | Q4_1 | 4.3B | 2.39 GiB | 0.40 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| gemma-3-4b-it-heretic-uncensored-abliterated-Extreme | I1-Q4_1 | 4.3B | 2.39 GiB | 0.40 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| medgemma-4b-it | Q4_1 | 4.3B | 2.39 GiB | 0.40 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| amoral-gemma3-4B-v1 | Q4_1 | 4.3B | 2.39 GiB | 0.40 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| gemma-3-4b-it-abliterated | Q4_1 | 4.3B | 2.39 GiB | 0.40 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Gemma3-4B-CodeCenturion | I1-Q4_1 | 4.3B | 2.39 GiB | 0.40 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| ArrowMint-Gemma3-4B-YUKI-v0.1 | I1-Q4_1 | 4.3B | 2.39 GiB | 0.40 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| gemma-3-4b-it | Q4_1 | 4.3B | 2.39 GiB | 0.40 GiB | 3.70 GiB | 0.02 GiB | 29±26.5% |
| Gemma-3-4b-it-Uncensored-DBL-X | IQ4_XS | 4.7B | 2.31 GiB | 0.47 GiB | 3.70 GiB | 0.02 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?
- 475 of 2118 indexed open-weight models fit a Radeon RX 6400 at 65,536 context with q4_0 KV cache, the largest being Qwen3.5-4B at IQ3_XS. 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.