AMD Radeon RX 7900 XTX
24 GB · 960 GB/s · 355 W
Prices
Every retailer we track in India, cheapest first. Buy links may earn us a commission.
No retailer in this market lists it right now.
What it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | fits | 20.6 GB | 101k177k with q8 cache | 25tok/sest. | 629 tok/s | chat, coding |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | fits | 21.0 GB | 96k168k with q8 cache | 25tok/sest. | 629 tok/s | chat, coding |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | fits | 23.1 GB | 68k106k with q8 cache | 97tok/sest. | 3787 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | fits | 20.9 GB | 97k170k with q8 cache | 25tok/sest. | 629 tok/s | chat, coding |
| Gemma 4 26B-A4B | UD-Q5_K_M | fits | 22.3 GB | 98k160k with q8 cache | 66tok/sest. | 3877 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | fits | 23.0 GB | 72k113k with q8 cache | 98tok/sest. | 3787 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | fits | 21.5 GB | 92k160k with q8 cache | 48tok/sest. | 1879 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 14.0 GB | 128k | 78tok/sest. | 2898 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 14.3 GB | 256k | 38tok/sest. | 1490 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.1 GB | 256k | 45tok/sest. | 1824 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q4_K_M | fits | 22.0 GB | 78k128k with q8 cache | 24tok/sest. | 705 tok/s | chat, coding |
| Ministral 3 14B Mistral AI | Q6_K | fits | 21.5 GB | 74k135k with q8 cache | 24tok/sest. | 872 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q6_K | fits | 22.5 GB | 40k | 23tok/sest. | 764 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.3 GB | 97k128k with q8 cache | 29tok/sest. | 1206 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.3 GB | 40k | 29tok/sest. | 1206 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | fits | 22.0 GB | 16k | 24tok/sest. | 767 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.4 GB | 256k | 79tok/sest. | 3162 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 18.1 GB | 100k183k with q8 cache | 29tok/sest. | 1193 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 19.9 GB | 84k128k with q8 cache | 26tok/sest. | 1102 tok/s | chat, coding, agents |
| Gemma 4 E4B | Q8_0 | fits | 10.6 GB | 128k | 52tok/sest. | 2389 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.6 GB | 125k | 74tok/sest. | 5099 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.3 GB | 124k128k with q8 cache | 35tok/sest. | 1295 tok/s | chat, coding, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 41.8 GB | – | 12tok/sest. | 950 tok/s | chat |
| Gemma 4 31B | Q4_K_M | offload | 24.0 GB | 54k103k with q8 cache | 16tok/sest. | 562 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 47.9 GB | – | 14tok/sest. | 2071 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 40.0 GB | – | 17tok/sest. | 953 tok/s | chat, coding |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 47.9 GB | – | 16tok/sest. | 2362 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 24.5 GB | 55k101k with q8 cache | 14tok/sest. | 598 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.2 GB | – | 21tok/sest. | 3736 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.7 GB | – | 44tok/sest. | 2626 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 24.5 GB | 51k91k with q8 cache | 26tok/sest. | 1311 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 35.6 GB | 15k28k with q8 cache | 3tok/sest. | 252 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 24.5 GB | 55k101k with q8 cache | 14tok/sest. | 598 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 35.7 GB | 15k28k with q8 cache | 3tok/sest. | 311 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 96.7 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 76.2 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 86.8 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.7 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 62.5 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 54.9 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 60.8 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- Radeon RX 7900 XTX
- Memory
- 24 GB GDDR6
- Memory bus
- 384-bit
- Memory bandwidth
- 960 GB/s
- FP16 compute
- 123 TFLOPS
- Software
- ROCm
- Board power
- 355 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16