readygpu

NVIDIA GeForce RTX 5090 vs AMD Radeon RX 7900 XTX

For running models locally, priced in Canada. At 8k context the first runs 52 models fully in memory, the second 51.

In short

The NVIDIA GeForce RTX 5090 has more memory for models: 32 GB against 24 GB. At 8k context the NVIDIA GeForce RTX 5090 runs 52 of the models we track fully in memory and the AMD Radeon RX 7900 XTX 51; only the NVIDIA GeForce RTX 5090 holds Kimi Linear 48B-A3B. On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 2.1× as fast as the AMD Radeon RX 7900 XTX (estimated, median across models). In Canada the NVIDIA GeForce RTX 5090 costs $10,000 at eBay and the AMD Radeon RX 7900 XTX $2,500 at eBay (used): the AMD Radeon RX 7900 XTX is $7,500 cheaper.

Updated . Speeds are estimates; how they are worked out.

NVIDIA GeForce RTX 5090

$10,000

eBay

Add to build
AMD Radeon RX 7900 XTX

$2,500

eBay, used (asking)

Add to build

Specifications

SpecNVIDIA GeForce RTX 5090AMD Radeon RX 7900 XTX
GPUGeForce RTX 5090Radeon RX 7900 XTX
Memory32 GB GDDR724 GB GDDR6
Memory bus512-bit384-bit
Memory bandwidth1,792 GB/s960 GB/s
FP16 compute209 TFLOPS123 TFLOPS
SoftwareCUDAROCm
Board power575 W355 W
PCIe generationGen 5Gen 4
PCIe lanesx16x16

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelNVIDIA GeForce RTX 5090AMD Radeon RX 7900 XTX
Qwen 3.8 27B37tok/sQ8_023tok/sUD-Q6_K
Qwen 3.6 27B38tok/sQ8_023tok/sQ6_K
Gemma 4 31B42tok/sQ6_K23tok/sQ5_K_M
Qwen 3.6 35B-A3B237tok/sQ6_K152tok/sQ4_K_M
Qwen 3.5 27B38tok/sQ8_023tok/sQ6_K
Gemma 4 26B-A4B147tok/sQ8_080tok/sUD-Q6_K
Qwen 3.5 35B-A3B253tok/sQ6_K153tok/sQ4_K_M
GLM 4.7 Flash117tok/sQ8_079tok/sQ5_K_M
Devstral Small 2 24B42tok/sQ8_026tok/sQ6_K
Kimi Linear 48B-A3B343tok/sQ4_K_Moffload
gpt-oss 20B253tok/sMXFP4120tok/sMXFP4
Qwen3 Coder 30B-A3B204tok/sQ6_K108tok/sQ5_K_M
Qwen3 32B38tok/sQ6_K24tok/sQ4_K_M
Gemma 4 12B85tok/sQ8_040tok/sQ8_0
Qwen 3.5 9B113tok/sQ8_054tok/sQ8_0
Mistral Small 3.2 24B42tok/sQ8_026tok/sQ6_K
DeepSeek R1 Distill Qwen 32B38tok/sQ6_K24tok/sQ4_K_M
Gemma 3 27B37tok/sQ8_023tok/sQ6_K
Ministral 3 14B71tok/sQ8_034tok/sQ8_0
Qwen3 14B65tok/sQ8_031tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B112tok/sQ8_053tok/sQ8_0
Qwen3 8B112tok/sQ8_053tok/sQ8_0
Phi-4 14B64tok/sQ8_031tok/sQ8_0
Qwen 3.5 4B231tok/sQ8_0110tok/sQ8_0
Ministral 3 8B109tok/sQ8_052tok/sQ8_0
Granite 4.2 8B104tok/sQ8_049tok/sQ8_0
Gemma 4 E4B131tok/sQ8_062tok/sQ8_0
LFM2.5 8B-A1B455tok/sQ8_0216tok/sQ8_0
Llama 3.1 8B145tok/sQ6_K69tok/sQ6_K
Qwen2.5 0.5B1759tok/sQ8_0836tok/sQ8_0
Qwen3.5 0.8B1193tok/sQ8_0567tok/sQ8_0
Qwen3.5 2B715tok/sQ5_K_M340tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B522tok/sQ8_0248tok/sQ8_0
MiniCPM5 2B366tok/sQ8_0174tok/sQ8_0
LFM2.5 2.6B329tok/sQ8_0156tok/sQ8_0
LFM2.5 VL 3B329tok/sQ8_0156tok/sQ8_0
granite vision 4.1 4b259tok/sQ8_0123tok/sQ8_0
granite 4.2 3b243tok/sQ8_0116tok/sQ8_0
LFM2.5 24B A2B238tok/sQ8_0130tok/sQ6_K
Mellum2.1 12B A2.5B Thinking236tok/sQ8_0112tok/sQ8_0
Kimi VL A3B190tok/smlx-8bit90tok/smlx-8bit
DeepSeek R1 Distill Qwen 7B130tok/sQ8_062tok/sQ8_0
DeepSeek R1 Distill Llama 8B116tok/sQ8_055tok/sQ8_0
Ministral 3 8B Reasoning 2512109tok/sQ8_052tok/sQ8_0
GLM 4.6V Flash108tok/sQ8_051tok/sQ8_0
GLM 4.1V 9B Thinking92tok/smlx-8bit44tok/smlx-8bit
DeepSeek R1 Distill Qwen 14B64tok/sQ8_031tok/sQ8_0
Devstral Small 250742tok/sQ8_029tok/sQ5_K_M
Magistral Small 250642tok/sQ8_026tok/sQ6_K
Magistral Small 250742tok/sQ8_029tok/sQ5_K_M
Magistral Small 250942tok/sQ8_029tok/sQ5_K_M
granite 4.2 30b42tok/sQ6_K23tok/sQ5_K_M
Qwen 3.5 122B-A10Boffloadoffload
Qwen3 Coder Nextoffloadoffload
Nemotron 3 Super 120B-A12Boffloadwon't run
Mistral Small 4 119Boffloadoffload
GLM 4.5 Airoffloadoffload
Qwen3 Next 80B-A3Boffloadoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Llama 3.3 70Boffloadoffload
DeepSeek R1 Distill Llama 70Boffloadoffload
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
Qwen 3.8 Flash Nextwon't runwon't run
MiniMax M2.7won't runwon't run
gpt-oss 120Bwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.2won't runwon't run
DeepSeek V4 Flash 0731won't runwon't run
DeepSeek V4 Flash Vision Expwon't runwon't run
Devstral 2 123B Instruct 2512won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5.1won't runwon't run
GLM 5.2won't runwon't run
GLM 5.3won't runwon't run
Kimi K2won't runwon't run
Kimi K2 Instruct 0905won't runwon't run
Kimi K2 Thinkingwon't runwon't run
Kimi K2.5won't runwon't run
MiniMax M2won't runwon't run
MiniMax M2.1won't runwon't run
MiniMax M2.5won't runwon't run
MiniMax M3won't runwon't run
Mistral Medium 3.5 128Bwon't runwon't run

Questions

Which is better for local AI, the NVIDIA GeForce RTX 5090 or the AMD Radeon RX 7900 XTX?
Choose the NVIDIA GeForce RTX 5090 to run bigger models. Choose the NVIDIA GeForce RTX 5090 for speed. Choose the AMD Radeon RX 7900 XTX to spend less.
Which can run bigger models, the NVIDIA GeForce RTX 5090 or the AMD Radeon RX 7900 XTX?
At 8k context the NVIDIA GeForce RTX 5090 runs 52 of the models we track fully in memory and the AMD Radeon RX 7900 XTX 51; only the NVIDIA GeForce RTX 5090 holds Kimi Linear 48B-A3B.
Which is faster for local AI, the NVIDIA GeForce RTX 5090 or the AMD Radeon RX 7900 XTX?
On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 2.1× as fast as the AMD Radeon RX 7900 XTX (estimated, median across models).
What is the price difference between the NVIDIA GeForce RTX 5090 and the AMD Radeon RX 7900 XTX?
In Canada the NVIDIA GeForce RTX 5090 costs $10,000 at eBay and the AMD Radeon RX 7900 XTX $2,500 at eBay (used): the AMD Radeon RX 7900 XTX is $7,500 cheaper.

More comparisons