readygpu

NVIDIA GeForce RTX 5090 vs NVIDIA RTX PRO 4500 Blackwell

For running models locally, priced in Germany. At 128k context the first runs 50 models fully in memory, the second 50.

In short

Both have 32 GB of memory for models; the NVIDIA GeForce RTX 5090 has 1,792 GB/s of bandwidth and the NVIDIA RTX PRO 4500 Blackwell 896 GB/s. At 128k context both run the same 50 models we track fully in memory. On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 2.0× as fast as the NVIDIA RTX PRO 4500 Blackwell (estimated, median across models).

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

NVIDIA GeForce RTX 5090

6.199 €

eBay

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NVIDIA RTX PRO 4500 Blackwell

Not priced here

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Specifications

SpecNVIDIA GeForce RTX 5090NVIDIA RTX PRO 4500 Blackwell
GPUGeForce RTX 5090RTX PRO 4500 Blackwell
Memory32 GB GDDR732 GB GDDR7
Memory bus512-bit256-bit
Memory bandwidth1,792 GB/s896 GB/s
FP16 compute209 TFLOPS54.94 TFLOPS
SoftwareCUDACUDA
Board power575 W200 W
PCIe generationGen 5Gen 5
PCIe lanesx16x16

What each runs

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

ModelNVIDIA GeForce RTX 5090NVIDIA RTX PRO 4500 Blackwell
Qwen 3.8 27B36tok/sUD-Q6_K18tok/sUD-Q6_K
Qwen 3.6 27B36tok/sQ6_K18tok/sQ6_K
Gemma 4 31B37tok/sQ4_K_M19tok/sQ4_K_M
Qwen 3.6 35B-A3B128tok/sUD-Q6_K64tok/sUD-Q6_K
Qwen 3.5 27B36tok/sQ6_K18tok/sQ6_K
Gemma 4 26B-A4B95tok/sQ8_047tok/sQ8_0
Qwen 3.5 35B-A3B129tok/sQ6_K65tok/sQ6_K
GLM 4.7 Flash60tok/sQ6_K30tok/sQ6_K
Nemotron 3.5 Lightning 30B-A3B179tok/sUD-Q5_K_M90tok/sUD-Q5_K_M
Kimi Linear 48B-A3B227tok/sQ4_K_M114tok/sQ4_K_M
gpt-oss 20B118tok/sMXFP459tok/sMXFP4
Qwen3 Coder 30B-A3B45tok/sQ4_K_M23tok/sQ4_K_M
Gemma 4 12B73tok/sQ8_037tok/sQ8_0
Qwen 3.5 9B80tok/sQ8_040tok/sQ8_0
Gemma 3 27B37tok/sQ5_K_M18tok/sQ5_K_M
Ministral 3 14B36tok/sQ5_K_M18tok/sQ5_K_M
Qwen3 14B35tok/sQ5_K_M17tok/sQ5_K_M
DeepSeek R1 0528 Qwen3 8B40tok/sQ8_020tok/sQ8_0
Qwen3 8B40tok/sQ8_020tok/sQ8_0
Qwen 3.5 4B126tok/sQ8_063tok/sQ8_0
Ministral 3 8B41tok/sQ8_020tok/sQ8_0
Granite 4.2 8B36tok/sQ8_018tok/sQ8_0
Gemma 4 E4B93tok/sQ8_046tok/sQ8_0
LFM2.5 8B-A1B89tok/sQ8_044tok/sQ8_0
Llama 3.1 8B47tok/sQ6_K23tok/sQ6_K
Qwen2.5 0.5B519tok/sQ8_0259tok/sQ8_0
Qwen3.5 0.8B455tok/sQ8_0228tok/sQ8_0
Qwen3.5 2B363tok/sQ5_K_M181tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B197tok/sQ8_098tok/sQ8_0
Mellum2.1 12B A2.5B Thinking146tok/sQ8_073tok/sQ8_0
Spark X2.5 4B140tok/smlx-4bit70tok/smlx-4bit
MiniCPM5 2B134tok/sQ8_067tok/sQ8_0
FrogNano 4B 2609124tok/sQ8_062tok/sQ8_0
LFM2.5 2.6B102tok/sQ8_051tok/sQ8_0
LFM2.5 VL 3B102tok/sQ8_051tok/sQ8_0
Kimi VL A3B Thinking 250693tok/sQ8_046tok/sQ8_0
Kimi VL A3B91tok/smlx-8bit45tok/smlx-8bit
GLM 4 9B 041482tok/smlx-5bit41tok/smlx-5bit
granite vision 4.1 4b77tok/sQ8_039tok/sQ8_0
granite 4.2 3b76tok/sQ8_038tok/sQ8_0
GLM 4.6V Flash72tok/sQ8_036tok/sQ8_0
DeepSeek R1 Distill Qwen 7B71tok/sQ8_036tok/sQ8_0
GLM 4.1V 9B Thinking65tok/smlx-8bit32tok/smlx-8bit
Ministral 3 3B Instruct 251263tok/sQ8_032tok/sQ8_0
LFM2.5 24B A2B53tok/sQ6_K27tok/sQ6_K
Muse Glimmer 30B44tok/sQ6_K22tok/sQ6_K
DeepSeek R1 Distill Llama 8B43tok/sQ8_022tok/sQ8_0
Ministral 3 8B Reasoning 251241tok/sQ8_020tok/sQ8_0
Qwen3.8 27B OBLITERATED38tok/smlx-4bit19tok/smlx-4bit
Ministral 3 14B Reasoning 251236tok/sQ5_K_M18tok/sQ5_K_M
Qwen 3.5 122B-A10Boffloadoffload
Qwen3 Coder Nextoffloadoffload
Nemotron 3 Super 120B-A12Boffloadoffload
Mistral Small 4 119Boffloadoffload
Qwen3 Next 80B-A3Boffloadoffload
Devstral Small 2 24Boffloadoffload
Qwen3 32Boffloadoffload
Mistral Small 3.2 24Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
Phi-4 14Boffloadoffload
DeepSeek R1 Distill Qwen 14Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
granite 4.2 30boffloadoffload
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
GLM 4.5 Airwon'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

Questions

Which is better for local AI, the NVIDIA GeForce RTX 5090 or the NVIDIA RTX PRO 4500 Blackwell?
Choose the NVIDIA GeForce RTX 5090 for speed.
Which can run bigger models, the NVIDIA GeForce RTX 5090 or the NVIDIA RTX PRO 4500 Blackwell?
At 128k context both run the same 50 models we track fully in memory.
Which is faster for local AI, the NVIDIA GeForce RTX 5090 or the NVIDIA RTX PRO 4500 Blackwell?
On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 2.0× as fast as the NVIDIA RTX PRO 4500 Blackwell (estimated, median across models).

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