AMD · consumer

Radeon RX 6500 XT

Radeon RX 6500 XT has 8 GB of VRAM at 144 GB/s — about 7.44 GiB usable after driver and compositor overhead. 974 of 2118 indexed models fit at 32K context with f16 KV.

Spec sheet· bandwidth, theoreticalFrom the file· fit from summed bytesPredicted· speed
Memory
8 GB
GDDR6
Bandwidth
144 GB/s
64-bit bus
Tensor FP16
dense
TDP
113 W
$219 MSRP
KV cachef16q8_0q4_0quantizing the KV cache is a ~2× lever on the dominant term at long context
text 795audio asr 38vision language 88embedding 25audio tts 20video 7image 1

What fits at 32K context

largest quantization that fits, per model · 974 of 2118 indexed
ModelBest quantParamsWeightsKVTotal in memoryHeadroomtok/s
MiniCPM-o-2_6Q4_K_L8.7B4.74 GiB1.75 GiB7.44 GiB0.00 GiB14±26.5%
Arcee-Maestro-7B-PreviewQ4_K_L7.6B4.74 GiB1.75 GiB7.44 GiB0.00 GiB14±26.5%
Jan-v3-4B-base-instructQ2_K_L4.4B2.03 GiB4.50 GiB7.44 GiB0.00 GiB14±26.5%
Jan-code-4bQ2_K_L4.4B2.03 GiB4.50 GiB7.44 GiB0.00 GiB14±26.5%
Voxtral-Mini-3B-2507Q4_K_M4.7B2.78 GiB3.75 GiB7.44 GiB0.00 GiB14±26.5%
Teuken-7B-instruct-research-v0.4Q5_K_L7.5B5.50 GiB1.00 GiB7.44 GiB0.00 GiB14±26.5%
Ministral-3-8B-Instruct-2512UD-IQ1_M8.9B2.25 GiB4.25 GiB7.44 GiB0.00 GiB14±26.5%
Marco-Nano-InstructMoEI1-IQ2_M8.0B3.06 GiB3.50 GiB7.43 GiB0.01 GiB14±37%
Ministral-3-8B-Reasoning-2512UD-IQ1_M8.9B2.24 GiB4.25 GiB7.43 GiB0.01 GiB14±26.5%
gemma-3-12b-it-vl-Gemini-3-Pro-Preview-Heretic-Uncensored-ThinkingI1-IQ2_M12.2B4.01 GiB2.47 GiB7.43 GiB0.01 GiB14±26.5%
gemma-3-12b-it-vl-Deepseek-v3.1-Heretic-Uncensored-ThinkingI1-IQ2_M12.2B4.01 GiB2.47 GiB7.43 GiB0.01 GiB14±26.5%
gemma-3-12b-it-vl-GLM-4.7-Flash-Heretic-Uncensored-ThinkingI1-IQ2_M12.2B4.01 GiB2.47 GiB7.43 GiB0.01 GiB14±26.5%
Floppa-12B-Gemma3-UncensoredI1-IQ2_M12.2B4.01 GiB2.47 GiB7.43 GiB0.01 GiB14±26.5%
gemma-3-12b-it-hereticI1-IQ2_M12.2B4.01 GiB2.47 GiB7.43 GiB0.01 GiB14±26.5%
gemma-3-12b-it-abliteratedIQ2_M12.2B4.01 GiB2.47 GiB7.43 GiB0.01 GiB14±26.5%
deepseek-coder-1.3b-instructI1-IQ3_XXS1.3B0.54 GiB6.00 GiB7.43 GiB0.01 GiB14±26.5%
deepseek-coder-1.3b-baseIQ3_XXS1.3B0.54 GiB6.00 GiB7.43 GiB0.01 GiB14±26.5%
nomic-embed-codeQ5_K_M7.1B4.72 GiB1.75 GiB7.43 GiB0.01 GiB14±26.5%
MiMo-VL-7B-RLUD-IQ1_S8.3B1.99 GiB4.50 GiB7.42 GiB0.02 GiB14±26.5%
DeepSeek-Coder-V2-Lite-BaseMoEI1-IQ2_XS15.7B5.56 GiB0.95 GiB7.42 GiB0.02 GiB29±37%
DeepSeek-Coder-V2-Lite-InstructMoEIQ2_XS15.7B5.56 GiB0.95 GiB7.42 GiB0.02 GiB29±37%
DeepSeek-V2-Lite-ChatMoEIQ2_XS15.7B5.56 GiB0.95 GiB7.42 GiB0.02 GiB29±37%
Wan2.1-T2V-1.3BQ4_01.4B6.50 GiB0.00 GiB7.42 GiB0.02 GiB14±26.5%
internlm3-8b-instructQ4_K_M8.8B4.99 GiB1.50 GiB7.41 GiB0.03 GiB14±26.5%
Yi-Coder-1.5B-ChatIQ2_XS1.5B0.53 GiB6.00 GiB7.41 GiB0.03 GiB14±26.5%
Yi-Coder-1.5BIQ2_XS1.5B0.53 GiB6.00 GiB7.41 GiB0.03 GiB14±26.5%
Kuwutu-7B-CYOA-v2I1-IQ1_M7.6B1.98 GiB4.50 GiB7.41 GiB0.03 GiB14±26.5%
legitus-instruct-v1I1-IQ2_XS8.1B2.44 GiB4.00 GiB7.41 GiB0.03 GiB14±26.5%
Apertus-8B-Instruct-2509I1-IQ2_XS8.1B2.44 GiB4.00 GiB7.41 GiB0.03 GiB14±26.5%
Llama-3.1-Minitron-4B-Width-BaseIQ4_NL4.5B2.49 GiB4.00 GiB7.40 GiB0.04 GiB14±26.5%
next-8bI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Supertron2-Reranker-8BI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
next-ocrI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Qwen3-VL-8B-GLM-4.7-Flash-Heretic-Uncensored-ThinkingI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Midas-FableAgent-8BI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Qwen3-VL-8B-Heretic-1.3.0I1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Qwen3-VL-8B-Thinking-Unredacted-MAXI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Qwen3-VL-8B-Instruct-Minecraft-MT-en-zhI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Qwen-3-VL-8B-Instruct-hereticI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Poe-8B-GLM5-Opus4.6-Sonnet4.5-Kimi-Grok-Gemini-3-pro-preview-HERETICI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
ToolCUA-8BI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Huihui-Qwen3-VL-8B-Instruct-abliteratedI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Qwen3-VL-Reranker-8BI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Salience-1-9BI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Qwen3-VL-8B-Instruct-Uncensored-V2I1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Maestro1-9BI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
GRaPE-2-FlashI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Jan-v2-VL-medI1-IQ1_S8.8B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Parable-Qwen3-8B-Claude-Fable-5I1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
ReasonCritic-7BI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
mythos-9b-unhinged-hereticI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Finch-8B-KTOI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Finch-8BI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
MathSmith-hc-Qwen3-8BI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
MiroThinker-v1.0-8BI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
mythos-9b-unhingedI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Ektome-Qwen3-8B-PristinelyUncensoredI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
Marco-DeepResearch-8BI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
mythos-9b-mergedI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
qwen3-8b-apostateI1-IQ1_S8.2B1.97 GiB4.50 GiB7.40 GiB0.04 GiB14±26.5%
From the filePredictedwhat these mean

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 6500 XT run?
974 of 2118 indexed open-weight models fit a Radeon RX 6500 XT at 32,768 context with f16 KV cache, the largest being MiniCPM-o-2_6 at Q4_K_L. That covers text, vision-language, image, video and speech models.
How much usable memory does a Radeon RX 6500 XT actually have?
Its nameplate is 8 GB, but about 7.44 GiB is available to a model once driver and compositor overhead is accounted for.
Is a Radeon RX 6500 XT fast for local AI?
Its memory bandwidth is 144 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.