AMD Radeon RX 7600 XT
16 GB · 288 GB/s · 190 W
Prices
Every retailer we track in the US, cheapest first. Buy links may earn us a commission.
| Retailer | Condition | Price | Stock | Checked | Buy |
|---|---|---|---|---|---|
| AmazonGIGABYTE Radeon RX 7600 XT Gaming OC 16G Graphics Card | refurbished | $550 | In stock | 26 min ago | Buy |
| AmazonXFX Speedster SWFT210 Radeon RX 7600XT CORE Gaming Graphics Card with 16GB… | New | $695 | In stock | 26 min ago | Buy |
| AmazonGigabyte Radeon RX 7600 XT Gaming OC 16GB Graphics Card | New | $779 | In stock | 26 min ago | Buy |
| AmazonGIGABYTE Radeon RX 7600 XT Gaming OC 16G Graphics Card | New | $779 | In stock | 26 min ago | Buy |
| AmazonASUS Dual Radeon RX 7600 XT OC Edition 16GB GDDR6 Graphics Card AMD RDNA 3… | New | $799 | In stock | 26 min ago | Buy |
Price history
Lowest price shown each day over the last 90 days.
Not enough price history yet.
What two of them run
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q5_K_M | fits | 28.6 GB | 154k256k with q8 cache | 6tok/sest. | 194 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q5_K_M | fits | 28.4 GB | 157k256k with q8 cache | 6tok/sest. | 194 tok/s | – |
| Gemma 4 31B | Q4_K_M | fits | 29.9 GB | 133k245k with q8 cache | 5tok/sest. | 184 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q5_K_M | fits | 29.2 GB | 173k256k with q8 cache | 19tok/sest. | 941 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q5_K_M | fits | 28.5 GB | 156k256k with q8 cache | 6tok/sest. | 194 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 29.8 GB | 153k245k with q8 cache | 14tok/sest. | 1142 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q5_K_M | fits | 29.1 GB | 180k256k with q8 cache | 19tok/sest. | 941 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q5_K_M | fits | 28.6 GB | 159k198k with q8 cache | 9tok/sest. | 444 tok/s | chat |
| gpt-oss 20B OpenAI | MXFP4 | fits | 16.3 GB | 128k | 17tok/sest. | 740 tok/s | chat, coding, long documents |
| Gemma 4 12B | Q8_0 | fits | 16.2 GB | 256k | 11tok/sest. | 475 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 15.0 GB | 256k | 11tok/sest. | 565 tok/s | chat |
| Gemma 3 27B | Q4_K_M | fits | 27.9 GB | 128k | 6tok/sest. | 237 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | fits | 29.7 GB | 132k241k with q8 cache | 5tok/sest. | 222 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 28.2 GB | 128k | 6tok/sest. | 286 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 28.2 GB | 40k | 6tok/sest. | 286 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 10.3 GB | 256k | 18tok/sest. | 879 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 27.5 GB | 149k256k with q8 cache | 6tok/sest. | 290 tok/s | chat |
| Granite 4.2 8B IBM | Q6_K | fits | 29.1 GB | 128k | 6tok/sest. | 260 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 13.2 GB | 128k | 13tok/sest. | 792 tok/s | chat |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 16.4 GB | 125k | 13tok/sest. | 1058 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 24.2 GB | 128k | 7tok/sest. | 312 tok/s | chat |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 44.2 GB | – | 9tok/sest. | 277 tok/s | chat |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 50.3 GB | – | 9tok/sest. | 574 tok/s | chat |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 54.1 GB | – | 8tok/sest. | 351 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 42.3 GB | – | 11tok/sest. | 246 tok/s | chat, coding |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 50.3 GB | – | 10tok/sest. | 628 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 35.4 GB | 97k177k with q8 cache | 3tok/sest. | 158 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 35.4 GB | – | 18tok/sest. | 1151 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 31.1 GB | 78k107k with q8 cache | 31tok/sest. | 696 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 31.3 GB | 118k212k with q8 cache | 6tok/sest. | 269 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 52.5 GB | 40k | 2tok/sest. | 57 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 35.4 GB | 97k128k with q8 cache | 3tok/sest. | 158 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 52.5 GB | 41k76k with q8 cache | 2tok/sest. | 77 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 30.4 GB | 40k | 5tok/sest. | 189 tok/s | chat |
| Phi-4 14B Microsoft | Q4_K_M | offload | 35.3 GB | 16k | 3tok/sest. | 173 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.8 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.6 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 103.2 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 65.6 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 67.3 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.7 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- Radeon RX 7600 XT
- Memory
- 16 GB GDDR6
- Memory bus
- 128-bit
- Memory bandwidth
- 288 GB/s
- FP16 compute
- 45 TFLOPS
- Software
- ROCm
- Board power
- 190 W
- PCIe generation
- Gen 4
- PCIe lanes
- x8