NVIDIA RTX PRO 4000 Blackwell vs AMD Radeon RX 7900 XT

For running models locally, priced in the US. At 128k context the first runs 31 models fully in memory, the second 25.

In short

The NVIDIA RTX PRO 4000 Blackwell has more memory for models: 24 GB against 20 GB. At 128k context the NVIDIA RTX PRO 4000 Blackwell runs 31 of the models we track fully in memory and the AMD Radeon RX 7900 XT 25; only the NVIDIA RTX PRO 4000 Blackwell holds Gemma 4 26B-A4B. On the models both run fully in memory, the AMD Radeon RX 7900 XT is about 1.1× as fast as the NVIDIA RTX PRO 4000 Blackwell (estimated, median across models). In the US the NVIDIA RTX PRO 4000 Blackwell costs $2,069 at Amazon and the AMD Radeon RX 7900 XT $800 at Amazon: the AMD Radeon RX 7900 XT is $1,269 cheaper.

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

Specifications

SpecNVIDIA RTX PRO 4000 BlackwellAMD Radeon RX 7900 XT
GPURTX PRO 4000 BlackwellRadeon RX 7900 XT
Memory24 GB GDDR720 GB GDDR6
Memory bus192-bit320-bit
Memory bandwidth672 GB/s800 GB/s
FP16 compute46.9 TFLOPS103 TFLOPS
SoftwareCUDAROCm
Board power145 W315 W
PCIe generationGen 5Gen 4
PCIe lanesx16x16

What each runs

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

ModelNVIDIA RTX PRO 4000 BlackwellAMD Radeon RX 7900 XT
Gemma 4 26B-A4B43tok/sQ5_K_Moffload
gpt-oss 20B44tok/sMXFP447tok/sMXFP4
Gemma 4 12B28tok/sQ8_029tok/sQ8_0
Qwen 3.5 9B30tok/sQ8_032tok/sQ8_0
Qwen 3.5 4B47tok/sQ8_050tok/sQ8_0
Ministral 3 8B18tok/sQ4_K_Moffload
Gemma 4 E4B35tok/sQ8_037tok/sQ8_0
LFM2.5 8B-A1B33tok/sQ8_035tok/sQ8_0
Llama 3.1 8B18tok/sQ5_K_Moffload
Qwen2.5 0.5B195tok/sQ8_0205tok/sQ8_0
Qwen3.5 0.8B171tok/sQ8_0180tok/sQ8_0
Qwen3.5 2B136tok/sQ5_K_M144tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B74tok/sQ8_078tok/sQ8_0
Mellum2.1 12B A2.5B Thinking55tok/sQ8_058tok/sQ8_0
Spark X2.5 4B53tok/smlx-4bit56tok/smlx-4bit
MiniCPM5 2B50tok/sQ8_053tok/sQ8_0
FrogNano 4B 260947tok/sQ8_049tok/sQ8_0
LFM2.5 2.6B38tok/sQ8_040tok/sQ8_0
LFM2.5 VL 3B38tok/sQ8_040tok/sQ8_0
Kimi VL A3B Thinking 250635tok/sQ8_044tok/sQ4_K_M
Kimi VL A3B34tok/smlx-8bit40tok/smlx-6bit
GLM 4 9B 041431tok/smlx-5bit32tok/smlx-5bit
granite vision 4.1 4b29tok/sQ8_031tok/sQ8_0
granite 4.2 3b29tok/sQ8_030tok/sQ8_0
GLM 4.6V Flash27tok/sQ8_029tok/sQ8_0
DeepSeek R1 Distill Qwen 7B27tok/sQ8_028tok/sQ8_0
GLM 4.1V 9B Thinking24tok/smlx-8bit26tok/smlx-8bit
Ministral 3 3B Instruct 251224tok/sQ8_025tok/sQ8_0
Muse Glimmer 30B19tok/sQ5_K_Moffload
DeepSeek R1 Distill Llama 8B18tok/sQ5_K_Moffload
Ministral 3 8B Reasoning 251218tok/sQ4_K_Moffload
Qwen 3.8 27Boffloadoffload
Qwen 3.5 122B-A10Boffloadoffload
Qwen 3.6 27Boffloadoffload
Gemma 4 31Boffloadoffload
Mistral Small 4 119Boffloadoffload
Qwen 3.6 35B-A3Boffloadoffload
Qwen 3.5 27Boffloadoffload
Qwen 3.5 35B-A3Boffloadoffload
GLM 4.7 Flashoffloadoffload
Devstral Small 2 24Boffloadoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 Coder 30B-A3Boffloadoffload
Gemma 3 27Boffloadoffload
Mistral Small 3.2 24Boffloadoffload
Ministral 3 14Boffloadoffload
Qwen3 14Boffloadoffload
DeepSeek R1 0528 Qwen3 8Boffloadoffload
Qwen3 8Boffloadoffload
Phi-4 14Boffloadoffload
Granite 4.2 8Boffloadoffload
LFM2.5 24B A2Boffloadoffload
Qwen3.8 27B OBLITERATEDoffloadoffload
Ministral 3 14B Reasoning 2512offloadoffload
DeepSeek R1 Distill Qwen 14Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
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
Nemotron 3 Super 120B-A12Bwon't runwon't run
Qwen3 Coder Nextwon't runwon't run
gpt-oss 120Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Qwen3 Next 80B-A3Bwon't runwon't run
Qwen3 32Bwon't runwon't run
DeepSeek R1 Distill Qwen 32Bwon't runwon't run
Llama 3.3 70Bwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Distill Llama 70Bwon't runwon't run
DeepSeek R1 Zerowon't runwon't run
DeepSeek V3won't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.1 Terminuswon'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 4.5won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6won't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5won'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 Dev 72Bwon'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
granite 4.2 30bwon't runwon't run

Questions

Which is better for local AI, the NVIDIA RTX PRO 4000 Blackwell or the AMD Radeon RX 7900 XT?
Choose the NVIDIA RTX PRO 4000 Blackwell to run bigger models. Choose the AMD Radeon RX 7900 XT for speed. Choose the AMD Radeon RX 7900 XT to spend less.
Which can run bigger models, the NVIDIA RTX PRO 4000 Blackwell or the AMD Radeon RX 7900 XT?
At 128k context the NVIDIA RTX PRO 4000 Blackwell runs 31 of the models we track fully in memory and the AMD Radeon RX 7900 XT 25; only the NVIDIA RTX PRO 4000 Blackwell holds Gemma 4 26B-A4B.
Which is faster for local AI, the NVIDIA RTX PRO 4000 Blackwell or the AMD Radeon RX 7900 XT?
On the models both run fully in memory, the AMD Radeon RX 7900 XT is about 1.1× as fast as the NVIDIA RTX PRO 4000 Blackwell (estimated, median across models).
What is the price difference between the NVIDIA RTX PRO 4000 Blackwell and the AMD Radeon RX 7900 XT?
In the US the NVIDIA RTX PRO 4000 Blackwell costs $2,069 at Amazon and the AMD Radeon RX 7900 XT $800 at Amazon: the AMD Radeon RX 7900 XT is $1,269 cheaper.

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