Hardware
RTX 4000 Ada
RTX 4000 Ada has 20 GB GDDR6 and 360 GB/s. See which open models fit, at which quant, and roughly how fast. Figures below use the default memory (20 GB), 32 GB system RAM, and DDR5-5600 for anything that spills. Updated 2026-10-17.
Memory20 GB GDDR6
Bandwidth360 GB/s
Kindgpu
Year2023
20GB GDDR6, 360 GB/s. Source.
RSS for new models on this device
Models that fit
| Model | Verdict | Quant | Context | tok/s |
|---|---|---|---|---|
| GLM 4 32B 0414 32.6B | Tight fit | Q4_K_S | 4K | 10–14 |
| Qwen3.8 27B 27.3B | Tight fit | UD-Q4_K_XL | 8K | 11–15 |
| Qwen3.6 27B 26.9B | Tight fit | UD-Q4_K_XL | 8K | 11–15 |
| Qwen3.5 27B 26.9B | Tight fit | UD-Q4_K_XL | 8K | 11–15 |
| Qwen2.5 32B Instruct 32.8B | Tight fit | IQ4_XS | 4K | 11–14 |
| Qwen3 32B 32.8B | Tight fit | IQ4_XS | 4K | 11–14 |
| Qwen2.5 Coder 32B Instruct 32.8B | Tight fit | IQ4_XS | 4K | 11–14 |
| Qwen3 VL 32B Instruct 32.8B | Tight fit | IQ4_XS | 4K | 11–14 |
| Devstral Small 2 24B Instruct 2512 23.6B | Tight fit | UD-Q5_K_XL | 8K | 11–15 |
| Mistral Small 3.2 24B Instruct 2506 23.6B | Tight fit | UD-Q5_K_XL | 8K | 11–15 |
| Magistral Small 2509 23.6B | Tight fit | UD-Q5_K_XL | 8K | 11–15 |
| Llama 3.3 70B Instruct 70.6B | Tight fit | UD-IQ1_M | 4K | 11–15 |
| DeepSeek R1 Distill Llama 70B 70.6B | Tight fit | UD-IQ1_M | 4K | 11–15 |
| Hermes 4 70B 70.6B | Tight fit | UD-IQ1_M | 4K | 11–15 |
| GLM 4.7 Flash 29.9B | Tight fit | UD-Q4_K_XL | 8K | 48–65 |
| Qwen3 Coder 30B A3B Instruct 30.5B | Tight fit | UD-Q4_K_XL | 8K | 78–106 |
| Qwen3 30B A3B Instruct 2507 30.5B | Tight fit | UD-Q4_K_XL | 8K | 78–106 |
| Qwen3 VL 30B A3B Instruct 30.5B | Tight fit | UD-Q4_K_XL | 8K | 78–106 |
| Qwen3 30B A3B Thinking 2507 30.5B | Tight fit | UD-Q4_K_XL | 8K | 78–106 |
| Qwen3.5 35B A3B 34.7B | Tight fit | UD-IQ4_XS | 8K | 118–161 |
| Qwen3.6 35B A3B 34.7B | Tight fit | UD-IQ4_XS | 8K | 116–159 |
| Kwaipilot KAT Coder V2.5 Dev 34.7B | Tight fit | IQ4_XS | 4K | 57–77 |
| DeepSeek R1 Distill Qwen 32B 32.8B | Tight fit | Q3_K_M | 8K | 11–15 |
| Nemotron 3 Nano 30B A3B 31.6B | Tight fit | IQ4_NL | 8K | 92–125 |
| LFM2.5 24B A2B 24.0B | Tight fit | UD-Q5_K_XL | 8K | 91–125 |
| gemma 4 26B A4B it 25.2B | Tight fit | UD-Q4_K_XL | 8K | 42–57 |
| GLM 4.7 Flash REAP 23B A3B 23.0B | Tight fit | UD-Q5_K_XL | 8K | 75–103 |
| gpt oss 20b 20.9B | Runs | UD-Q8_K_XL | 8K | 49–67 |
| Qwen2.5 14B Instruct 14.8B | Tight fit | Q8_0 | 8K | 11–16 |
| Qwen3 14B 14.8B | Tight fit | Q8_0 | 8K | 12–16 |
| NousResearch Hermes 4 14B 14.8B | Tight fit | Q8_0 | 8K | 12–16 |
| DeepSeek R1 Distill Qwen 14B 14.8B | Tight fit | Q8_0 | 8K | 11–16 |
| Qwen2.5 Coder 14B Instruct 128K 14.8B | Tight fit | Q8_0 | 8K | 11–16 |
| Qwen3.8 35B A3B Distill 35.5B | Tight fit | Q3_K_M | 8K | 119–163 |
| phi 4 14.7B | Tight fit | Q8_0 | 8K | 11–16 |
| Ministral 3 14B Instruct 2512 13.5B | Tight fit | UD-Q8_K_XL | 8K | 11–15 |
| Ministral 3 14B Reasoning 2512 13.5B | Tight fit | UD-Q8_K_XL | 8K | 11–15 |
| gemma 4 12b it 11.9B | Runs | UD-Q8_K_XL | 8K | 12–16 |
| GLM 4.6V Flash 9.4B | Tight fit | BF16 | 4K | 10–14 |
| GLM Z1 9B 0414 9.4B | Tight fit | BF16 | 4K | 10–14 |
90 more models in the catalog do not fit this default profile, or ranked below the first 40 that do.
Example: Tight fit fully on your RTX 4000 Ada at Q4_K_S, 4K context, about 10–14 tok/s. Weights 17.4 GB plus 0.24 GB of KV cache — 18.1 GB of 18.5 GB usable. Weights shown in the verdict use GiB (the same 1024³ counting as GPU memory).