NVIDIA GeForce RTX 3090 vs AMD Radeon RX 7900 XT
For running models locally, priced in the US. At 8k context the first runs 57 models fully in memory, the second 49.
In short
The NVIDIA GeForce RTX 3090 has more memory for models: 24 GB against 20 GB. At 8k context the NVIDIA GeForce RTX 3090 runs 57 of the models we track fully in memory and the AMD Radeon RX 7900 XT 49; only the NVIDIA GeForce RTX 3090 holds Gemma 4 31B. On the models both run fully in memory, the NVIDIA GeForce RTX 3090 is about 1.3× as fast as the AMD Radeon RX 7900 XT (estimated, median across models). In the US the NVIDIA GeForce RTX 3090 costs $1,600 at eBay and the AMD Radeon RX 7900 XT $800 at Amazon: the AMD Radeon RX 7900 XT is $800 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 3090 | AMD Radeon RX 7900 XT |
|---|---|---|
| GPU | GeForce RTX 3090 | Radeon RX 7900 XT |
| Memory | 24 GB GDDR6X | 20 GB GDDR6 |
| Memory bus | 384-bit | 320-bit |
| Memory bandwidth | 936 GB/s | 800 GB/s |
| FP16 compute | 71 TFLOPS | 103 TFLOPS |
| Software | CUDA | ROCm |
| Board power | 350 W | 315 W |
| PCIe generation | Gen 4 | Gen 4 |
| PCIe lanes | x16 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 3090 | AMD Radeon RX 7900 XT |
|---|---|---|
| Qwen 3.8 27B | 26tok/sUD-Q6_K | 24tok/sQ4_K_M |
| Qwen 3.6 27B | 25tok/sQ6_K | 25tok/sQ4_K_M |
| Gemma 4 31B | 25tok/sQ5_K_M | offload |
| Qwen 3.6 35B-A3B | 167tok/sQ4_K_M | offload |
| Qwen 3.5 27B | 25tok/sQ6_K | 25tok/sQ4_K_M |
| Gemma 4 26B-A4B | 88tok/sUD-Q6_K | 78tok/sQ5_K_M |
| Qwen 3.5 35B-A3B | 168tok/sQ4_K_M | offload |
| GLM 4.7 Flash | 87tok/sQ5_K_M | 76tok/sQ4_K_M |
| Devstral Small 2 24B | 28tok/sQ6_K | 24tok/sQ5_K_M |
| Nemotron 3.5 Lightning 30B-A3B | 151tok/sMXFP4 | offload |
| gpt-oss 20B | 132tok/sMXFP4 | 100tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | 118tok/sQ5_K_M | 100tok/sQ4_K_M |
| Qwen3 32B | 27tok/sQ4_K_M | offload |
| Gemma 4 12B | 44tok/sQ8_0 | 34tok/sQ8_0 |
| Qwen 3.5 9B | 59tok/sQ8_0 | 45tok/sQ8_0 |
| Mistral Small 3.2 24B | 28tok/sQ6_K | 24tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 32B | 26tok/sQ4_K_M | offload |
| Gemma 3 27B | 25tok/sQ6_K | 25tok/sQ4_K_M |
| Ministral 3 14B | 37tok/sQ8_0 | 28tok/sQ8_0 |
| Qwen3 14B | 34tok/sQ8_0 | 26tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 59tok/sQ8_0 | 44tok/sQ8_0 |
| Qwen3 8B | 59tok/sQ8_0 | 44tok/sQ8_0 |
| Phi-4 14B | 34tok/sQ8_0 | 26tok/sQ8_0 |
| Qwen 3.5 4B | 121tok/sQ8_0 | 92tok/sQ8_0 |
| Ministral 3 8B | 57tok/sQ8_0 | 43tok/sQ8_0 |
| Granite 4.2 8B | 54tok/sQ8_0 | 41tok/sQ8_0 |
| Gemma 4 E4B | 69tok/sQ8_0 | 52tok/sQ8_0 |
| LFM2.5 8B-A1B | 237tok/sQ8_0 | 180tok/sQ8_0 |
| Llama 3.1 8B | 76tok/sQ6_K | 57tok/sQ6_K |
| Qwen2.5 0.5B | 919tok/sQ8_0 | 697tok/sQ8_0 |
| Qwen3.5 0.8B | 623tok/sQ8_0 | 472tok/sQ8_0 |
| Qwen3.5 2B | 373tok/sQ5_K_M | 283tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 273tok/sQ8_0 | 207tok/sQ8_0 |
| MiniCPM5 2B | 191tok/sQ8_0 | 145tok/sQ8_0 |
| LFM2.5 2.6B | 172tok/sQ8_0 | 130tok/sQ8_0 |
| LFM2.5 VL 3B | 172tok/sQ8_0 | 130tok/sQ8_0 |
| Spark X2.5 4B | 171tok/smlx-4bit | 130tok/smlx-4bit |
| LFM2.5 24B A2B | 143tok/sQ6_K | 119tok/sQ5_K_M |
| granite vision 4.1 4b | 135tok/sQ8_0 | 103tok/sQ8_0 |
| granite 4.2 3b | 127tok/sQ8_0 | 96tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | 123tok/sQ8_0 | 94tok/sQ8_0 |
| FrogNano 4B 2609 | 118tok/sQ8_0 | 89tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 104tok/sQ8_0 | 79tok/sQ8_0 |
| Kimi VL A3B | 99tok/smlx-8bit | 75tok/smlx-8bit |
| DeepSeek R1 Distill Qwen 7B | 68tok/sQ8_0 | 51tok/sQ8_0 |
| GLM 4 9B 0414 | 68tok/smlx-5bit | 51tok/smlx-5bit |
| DeepSeek R1 Distill Llama 8B | 60tok/sQ8_0 | 46tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 57tok/sQ8_0 | 43tok/sQ8_0 |
| GLM 4.6V Flash | 56tok/sQ8_0 | 43tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 48tok/smlx-8bit | 36tok/smlx-8bit |
| DeepSeek R1 Distill Qwen 14B | 34tok/sQ8_0 | 25tok/sQ8_0 |
| Devstral Small 2507 | 32tok/sQ5_K_M | 24tok/sQ5_K_M |
| Magistral Small 2507 | 32tok/sQ5_K_M | 24tok/sQ5_K_M |
| Magistral Small 2509 | 32tok/sQ5_K_M | 24tok/sQ5_K_M |
| Magistral Small 2506 | 28tok/sQ6_K | 24tok/sQ5_K_M |
| Qwen3.8 27B OBLITERATED | 27tok/smlx-4bit | offload |
| granite 4.2 30b | 25tok/sQ5_K_M | offload |
| Qwen 3.5 122B-A10B | offload | offload |
| Qwen3 Coder Next | offload | won't run |
| Mistral Small 4 119B | offload | offload |
| GLM 4.5 Air | offload | offload |
| Qwen3 Next 80B-A3B | offload | won't run |
| Kimi Linear 48B-A3B | offload | offload |
| Llama 3.3 70B | offload | offload |
| DeepSeek R1 Distill Llama 70B | offload | offload |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| Qwen 3.8 Flash Next | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
| Nemotron 3 Super 120B-A12B | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| DeepSeek R1 | won't run | won't run |
| DeepSeek R1 0528 | won't run | won't run |
| DeepSeek R1 Zero | won't run | won't run |
| DeepSeek V3 | won't run | won't run |
| DeepSeek V3 0324 | won't run | won't run |
| DeepSeek V3.1 | won't run | won't run |
| DeepSeek V3.1 Terminus | won't run | won't run |
| DeepSeek V3.2 | won't run | won't run |
| DeepSeek V4 Flash 0731 | won't run | won't run |
| DeepSeek V4 Flash Vision Exp | won't run | won't run |
| Devstral 2 123B Instruct 2512 | won't run | won't run |
| GLM 4.5 | won't run | won't run |
| GLM 4.5V | won't run | won't run |
| GLM 4.6 | won't run | won't run |
| GLM 4.6V | won't run | won't run |
| GLM 4.7 | won't run | won't run |
| GLM 5 | won't run | won't run |
| GLM 5.1 | won't run | won't run |
| GLM 5.2 | won't run | won't run |
| GLM 5.3 | won't run | won't run |
| Kimi Dev 72B | won't run | won't run |
| Kimi K2 | won't run | won't run |
| Kimi K2 Instruct 0905 | won't run | won't run |
| Kimi K2 Thinking | won't run | won't run |
| Kimi K2.5 | won't run | won't run |
| MiniMax M2 | won't run | won't run |
| MiniMax M2.1 | won't run | won't run |
| MiniMax M2.5 | won't run | won't run |
| MiniMax M3 | won't run | won't run |
| Mistral Medium 3.5 128B | won't run | won't run |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 3090 or the AMD Radeon RX 7900 XT?
- Choose the NVIDIA GeForce RTX 3090 to run bigger models. Choose the NVIDIA GeForce RTX 3090 for speed. Choose the AMD Radeon RX 7900 XT to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 3090 or the AMD Radeon RX 7900 XT?
- At 8k context the NVIDIA GeForce RTX 3090 runs 57 of the models we track fully in memory and the AMD Radeon RX 7900 XT 49; only the NVIDIA GeForce RTX 3090 holds Gemma 4 31B.
- Which is faster for local AI, the NVIDIA GeForce RTX 3090 or the AMD Radeon RX 7900 XT?
- On the models both run fully in memory, the NVIDIA GeForce RTX 3090 is about 1.3× as fast as the AMD Radeon RX 7900 XT (estimated, median across models).
- What is the price difference between the NVIDIA GeForce RTX 3090 and the AMD Radeon RX 7900 XT?
- In the US the NVIDIA GeForce RTX 3090 costs $1,600 at eBay and the AMD Radeon RX 7900 XT $800 at Amazon: the AMD Radeon RX 7900 XT is $800 cheaper.
More comparisons
- GMKtec EVO-X2 Ryzen AI Max+ 395 128GB vs NVIDIA GeForce RTX 3090
- Mac mini M4 16GB vs AMD Radeon RX 7900 XT
- AMD Radeon AI PRO R9700 vs NVIDIA GeForce RTX 3090
- NVIDIA GeForce RTX 3090 vs NVIDIA GeForce RTX 3090 Ti
- NVIDIA GeForce RTX 3090 vs NVIDIA GeForce RTX 4070 Ti Super
- NVIDIA GeForce RTX 3090 vs NVIDIA GeForce RTX 4080 Super
- NVIDIA GeForce RTX 3090 vs NVIDIA GeForce RTX 5070 Ti
- NVIDIA GeForce RTX 3090 vs NVIDIA GeForce RTX 5080
- NVIDIA GeForce RTX 3090 vs NVIDIA GeForce RTX 5090
- NVIDIA GeForce RTX 3090 vs AMD Radeon RX 7900 XTX