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. 1399 of 2118 indexed models fit at 4K 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
text 1204vision language 101image 2video 7embedding 26audio tts 21audio asr 38
What fits at 4K context
largest quantization that fits, per model · 1399 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| Ling-liteMoE | IQ2_M | 16.8B | 6.33 GiB | 0.22 GiB | 7.44 GiB | 0.00 GiB | 43±37% |
| Nexa-AI-4x4B-InstructMoE | I1-Q3_K_L | 12.1B | 5.96 GiB | 0.56 GiB | 7.44 GiB | 0.00 GiB | 14±37% |
| Bonsai-8B-unpacked | Q5_K_L | 8.2B | 5.94 GiB | 0.56 GiB | 7.43 GiB | 0.01 GiB | 14±26.5% |
| LFM2.5-Queen-Opus-4.7-8B-A1BMoE | I1-Q6_K | 8.5B | 6.48 GiB | 0.05 GiB | 7.43 GiB | 0.01 GiB | 42±37% |
| LFM2.5-8B-A1B-KO-SFTMoE | I1-Q6_K | 8.5B | 6.48 GiB | 0.05 GiB | 7.43 GiB | 0.01 GiB | 42±37% |
| LFM2.5-8B-A1B-hereticMoE | I1-Q6_K | 8.5B | 6.48 GiB | 0.05 GiB | 7.43 GiB | 0.01 GiB | 42±37% |
| LFM2.5-8B-A1B-SOMPOA-heresyMoE | I1-Q6_K | 8.5B | 6.48 GiB | 0.05 GiB | 7.43 GiB | 0.01 GiB | 42±37% |
| Huihui-LFM2.5-8B-A1B-abliteratedMoE | I1-Q6_K | 8.5B | 6.48 GiB | 0.05 GiB | 7.43 GiB | 0.01 GiB | 42±37% |
| Supertron2.1-8B-A1BMoE | I1-Q6_K | 8.5B | 6.48 GiB | 0.05 GiB | 7.43 GiB | 0.01 GiB | 42±37% |
| LFM2.5-8B-A1BMoE | Q6_K | 8.5B | 6.48 GiB | 0.05 GiB | 7.43 GiB | 0.01 GiB | 42±37% |
| gemma-7b | I1-Q4_K_S | 8.5B | 4.70 GiB | 1.75 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| Ministral-3-8B-Instruct-2512-BF16 | Q5_K_L | 8.9B | 5.95 GiB | 0.53 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| dolphin-2.9.2-Phi-3-MediumKV unresolved | IQ3_S | 14.0B | 5.68 GiB | 0.78 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| Cydonia-v1.3-Magnum-v4-22B | I1-IQ2_XXS | 22.2B | 5.58 GiB | 0.88 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| Mistral-Small-22B-ArliAI-RPMax-v1.1 | I1-IQ2_XXS | 22.2B | 5.58 GiB | 0.88 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| magnum-v4-22b | I1-IQ2_XXS | 22.2B | 5.58 GiB | 0.88 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| Mistral-Small-Instruct-2409 | IQ2_XXS | 22.2B | 5.58 GiB | 0.88 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| Codestral-22B-v0.1 | IQ2_XXS | 22.2B | 5.58 GiB | 0.88 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| Ministral-3-14B-Instruct-2512-BF16-abliterated | I1-IQ3_M | 13.9B | 5.84 GiB | 0.63 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| Ministral-3-14B-Instruct-2512-BF16 | IQ3_M | 13.9B | 5.84 GiB | 0.63 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| Ministral-3-14B-Reasoning-2512-Uncensored | I1-IQ3_M | 13.9B | 5.84 GiB | 0.63 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| Wan2.1-T2V-1.3B | Q4_0 | 1.4B | 6.50 GiB | 0.00 GiB | 7.42 GiB | 0.02 GiB | 14±26.5% |
| dolphin-2.9.1-mixtral-1x22bMoE | I1-IQ2_XXS | 22.2B | 5.58 GiB | 0.88 GiB | 7.42 GiB | 0.02 GiB | 8±37% |
| Qwen3.6-35B-A3B-REAM-160-ru-agentMoE | IQ2_XXS | 23.6B | 6.43 GiB | 0.08 GiB | 7.42 GiB | 0.02 GiB | 63±37% |
| codegeex4-all-9b | IQ3_XXS | 9.4B | 3.97 GiB | 2.50 GiB | 7.41 GiB | 0.03 GiB | 14±26.5% |
| zeta-2 | Q5_K_L | 8.3B | 5.97 GiB | 0.50 GiB | 7.41 GiB | 0.03 GiB | 14±26.5% |
| glm-4-9b-chat | IQ3_XXS | 9.4B | 3.97 GiB | 2.50 GiB | 7.41 GiB | 0.03 GiB | 14±26.5% |
| Gemma-4-12B-StyleTune | I1-IQ3_M | 13.0B | 5.74 GiB | 0.72 GiB | 7.41 GiB | 0.03 GiB | 14±26.5% |
| gemma-4-12b-heretic-styletune-head | I1-IQ3_M | 12.0B | 5.74 GiB | 0.72 GiB | 7.41 GiB | 0.03 GiB | 14±26.5% |
| syrian-gemma-12b | I1-IQ3_M | 13.0B | 5.74 GiB | 0.72 GiB | 7.41 GiB | 0.03 GiB | 14±26.5% |
| SambaLingo-Japanese-Chat | I1-Q5_K_S | 6.9B | 4.48 GiB | 2.00 GiB | 7.40 GiB | 0.04 GiB | 14±26.5% |
| Ling-mini-2.0MoE | IQ3_XS | 16.3B | 6.35 GiB | 0.16 GiB | 7.40 GiB | 0.04 GiB | 67±37% |
| UncensoredLM-DeepSeek-R1-Distill-Qwen-14B | IQ3_XS | 14.2B | 5.73 GiB | 0.72 GiB | 7.40 GiB | 0.04 GiB | 14±26.5% |
| INTELLECT-1-Instruct | I1-Q4_K_M | 10.2B | 5.80 GiB | 0.66 GiB | 7.40 GiB | 0.04 GiB | 14±26.5% |
| Qwythos-9B-v2 | Q4_K_L | 9.7B | 6.34 GiB | 0.13 GiB | 7.40 GiB | 0.04 GiB | 14±26.5% |
| Tess-4-9B | Q4_K_L | 9.7B | 6.34 GiB | 0.13 GiB | 7.40 GiB | 0.04 GiB | 14±26.5% |
| Qwen3.5-9B-Base | Q5_1 | 9.7B | 6.33 GiB | 0.13 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| v6-Finch-7B-HF | Q4_0 | 7.6B | 4.45 GiB | 2.00 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| rwkv-6-world-7b | Q4_0 | 7.6B | 4.45 GiB | 2.00 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| Teuken-7B-instruct-research-v0.4 | Q6_K_L | 7.5B | 6.33 GiB | 0.13 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| internlm2-math-plus-20b | I1-IQ2_XS | 19.9B | 5.68 GiB | 0.75 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| LocateAnything-3B | BF16 | 3.8B | 6.34 GiB | 0.14 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| deepseek-math-7b-instruct | Q5_K_M | 6.9B | 4.59 GiB | 1.88 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| deepseek-llm-7b-chat | Q5_K_M | 6.9B | 4.59 GiB | 1.88 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| Janus-Pro-7B | I1-Q5_K_M | 7.4B | 4.59 GiB | 1.88 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| deepseek-coder-7b-instruct-v1.5 | I1-Q5_K_M | 6.9B | 4.59 GiB | 1.88 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| Phi-3-medium-128k-instruct | Q3_K_S | 14.0B | 5.65 GiB | 0.78 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| Phi-3-medium-4k-instruct | I1-IQ3_S | 14.0B | 5.65 GiB | 0.78 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| Qwen2.5-3B-Instruct-abliterated | F16 | 3.1B | 6.33 GiB | 0.14 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| GRM-Kerlin-3b | F16 | 3.4B | 6.33 GiB | 0.14 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| Nous-Hermes-2-SOLAR-10.7B | Q4_K_S | 10.7B | 5.70 GiB | 0.75 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| SOLAR-10.7B-Instruct-v1.0 | I1-Q4_K_S | 10.7B | 5.70 GiB | 0.75 GiB | 7.39 GiB | 0.05 GiB | 14±26.5% |
| Garnet-OCR-3B-0422 | F16 | 4.1B | 6.33 GiB | 0.14 GiB | 7.38 GiB | 0.06 GiB | 14±26.5% |
| Rocinante-XL-16B-v1 | IQ2_S | 16.1B | 5.59 GiB | 0.84 GiB | 7.38 GiB | 0.06 GiB | 14±26.5% |
| granite-4.1-8b | Q5_K_M | 8.8B | 5.82 GiB | 0.63 GiB | 7.38 GiB | 0.06 GiB | 14±26.5% |
| deepseek-coder-6.7b-instruct | Q5_K_M | 6.7B | 4.46 GiB | 2.00 GiB | 7.38 GiB | 0.06 GiB | 14±26.5% |
| deepseek-coder-6.7b-base | Q5_K_M | 6.7B | 4.46 GiB | 2.00 GiB | 7.38 GiB | 0.06 GiB | 14±26.5% |
| deepseek-coder-6.7B-kexer | I1-Q5_K_M | 6.7B | 4.46 GiB | 2.00 GiB | 7.38 GiB | 0.06 GiB | 14±26.5% |
| Magicoder-S-DS-6.7B | I1-Q5_K_M | 6.7B | 4.46 GiB | 2.00 GiB | 7.38 GiB | 0.06 GiB | 14±26.5% |
| MathCoder2-CodeLlama-7B | Q5_K_M | 6.7B | 4.45 GiB | 2.00 GiB | 7.38 GiB | 0.06 GiB | 14±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 6500 XT run?
- 1399 of 2118 indexed open-weight models fit a Radeon RX 6500 XT at 4,096 context with f16 KV cache, the largest being Ling-lite at IQ2_M. 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.