AMD · 16 GB GDDR6 · 640 GB/s
Yes. Radeon RX 9070 XT fits gpt-oss-20b at MXFP4, the largest catalog model that clears the fit line at 8K context.
AMD product page: 16 GB GDDR6, 256-bit, up to 640 GB/s. Speed uses raw GDDR bandwidth. Infinity Cache is far smaller than model weights, so it is not added. Source.
| Model | Quant | Weights | Total | Verdict | Speed | Ollama |
|---|---|---|---|---|---|---|
| gpt-oss-20b | MXFP4 | 11.3 GiB | 12.6 GiB | Fits | 134–211 tok/s | ollama run gpt-oss:20b |
| Qwen2.5 14B Instruct | Q4_K_M | 8.37 GiB | 10.9 GiB | Fits | 33–57 tok/s | ollama run qwen2.5:14b |
| DeepSeek-R1 Distill Qwen 14B | Q4_K_M | 8.37 GiB | 10.9 GiB | Fits | 33–57 tok/s | ollama run deepseek-r1:14b |
| Qwen3 14B | Q4_K_M | 8.38 GiB | 10.6 GiB | Fits | 34–57 tok/s | ollama run qwen3:14b |
| Phi-4 | Q4_K_M | 8.43 GiB | 11.0 GiB | Fits | 33–57 tok/s | ollama run phi4:14b |
| Mistral Nemo 12B Instruct | Q4_K_M | 6.96 GiB | 9.15 GiB | Fits | 40–68 tok/s | ollama run mistral-nemo:12b |
| Gemma 4 12B | Q4_K_M | 6.63 GiB | 7.95 GiB | Fits | 46–72 tok/s | ollama run gemma4:12b |
| Gemma 3 12B Instruct | Q4_K_M | 6.80 GiB | 8.52 GiB | Fits | 43–70 tok/s | ollama run gemma3:12b |
| Qwen3.5 9B | Q4_K_M | 5.29 GiB | 6.39 GiB | Fits | 59–90 tok/s | ollama run qwen3.5:9b |
| Qwen3 8B | Q4_K_M | 4.68 GiB | 6.62 GiB | Fits | 56–102 tok/s | ollama run qwen3:8b |
| Llama 3.1 8B Instruct | Q4_K_M | 4.58 GiB | 6.39 GiB | Fits | 59–104 tok/s | ollama run llama3.1:8b |
| Qwen2.5 7B Instruct | Q4_K_M | 4.36 GiB | 5.56 GiB | Fits | 68–109 tok/s | ollama run qwen2.5:7b |
| Gemma 4 E4B | Q4_K_M | 4.64 GiB | 5.66 GiB | Fits | 67–103 tok/s | ollama run gemma4:e4b |
| Gemma 4 E2B | Q4_K_M | 2.89 GiB | 3.69 GiB | Fits | 109–165 tok/s | ollama run gemma4:e2b |
| Gemma 3 4B Instruct | Q4_K_M | 2.32 GiB | 3.24 GiB | Fits | 127–206 tok/s | ollama run gemma3:4b |
| Phi-4-mini Instruct | Q4_K_M | 2.32 GiB | 4.01 GiB | Fits | 99–205 tok/s | ollama run phi4-mini |
| Llama 3.2 3B Instruct | Q4_K_M | 1.88 GiB | 3.42 GiB | Fits | 119–254 tok/s | ollama run llama3.2:3b |
| SmolLM3 3B | Q4_K_M | 1.78 GiB | 2.99 GiB | Fits | 140–267 tok/s | — |
| Llama 3.2 1B Instruct | Q4_K_M | 0.75 GiB | 1.58 GiB | Fits | 327–634 tok/s | ollama run llama3.2:1b |
| Mistral Small 3.2 24B Instruct | Q4_K_M | 13.3 GiB | 15.9 GiB | Tight | 22–36 tok/s | — |
| Devstral Small 2 24B Instruct | Q4_K_M | 13.3 GiB | 15.9 GiB | Tight | 22–36 tok/s | — |
| Qwen3.6 35B-A3B | UD-Q4_K_M | 20.6 GiB | 22.4 GiB | Offload | 38–55 tok/s | — |
| Qwen2.5 32B Instruct | Q4_K_M | 18.5 GiB | 22.0 GiB | Offload | 4–6 tok/s | ollama run qwen2.5:32b |
| DeepSeek-R1 Distill Qwen 32B | Q4_K_M | 18.5 GiB | 22.0 GiB | Offload | 4–6 tok/s | ollama run deepseek-r1:32b |
| Qwen3 32B | Q4_K_M | 18.4 GiB | 22.0 GiB | Offload | 4–6 tok/s | ollama run qwen3:32b |
| Gemma 4 31B | Q4_K_M | 17.1 GiB | 19.9 GiB | Offload | 6–8 tok/s | ollama run gemma4:31b |
| Qwen3 30B-A3B | Q4_K_M | 17.3 GiB | 19.5 GiB | Offload | 53–78 tok/s | ollama run qwen3:30b-a3b |
| Qwen3.8 27B | UD-Q4_K_M | 15.3 GiB | 17.3 GiB | Offload | 15–21 tok/s | — |
| Gemma 3 27B Instruct | Q4_K_M | 15.4 GiB | 17.8 GiB | Offload | 11–16 tok/s | ollama run gemma3:27b |
| Gemma 4 26B-A4B | UD-Q4_K_M | 15.8 GiB | 17.5 GiB | Offload | 92–134 tok/s | ollama run gemma4:26b-a4b |
| gpt-oss-120b | MXFP4 | 59.0 GiB | 62.8 GiB | No | — | ollama run gpt-oss:120b |
| Qwen2.5 72B Instruct | Q4_K_M | 44.2 GiB | 49.5 GiB | No | — | ollama run qwen2.5:72b |
| Llama 3.3 70B Instruct | Q4_K_M | 39.6 GiB | 44.7 GiB | No | — | ollama run llama3.3:70b |
Exact answers
FAQ
What does the verdict for Radeon RX 9070 XT mean?
Memory is the GGUF file, plus KV cache at 8,192 tokens, plus a 0.5 GiB engine allowance, then 5% headroom. Fits means that total is at most 85% of fast memory. Tight means it still fits. Offload means it needs system RAM. No means it does not fit in VRAM plus system RAM after an 8 GB Windows reserve. The formula is on the methodology page.
What memory did you count as usable?
Fast memory is the full 16 GB. System RAM is assumed to be 32 GB DDR5-5600, with 8 GB kept for Windows, and you can change that on the homepage calculator.
Why is speed a range?
Decode speed is memory bandwidth divided by the bytes read per token. The high end is 80% of that roofline on the weights alone. The low end is 55% once the KV cache at the working context is included. It is not a benchmark.
How should I run Mistral Small 3.2 24B Instruct?
The table uses each model's recommended quant, usually Q4_K_M or the vendor's published quant. Mistral Small 3.2 24B Instruct has no verified Ollama tag, so no command is shown.