NVIDIA GeForce RTX 5080 vs NVIDIA RTX PRO 4500 Blackwell

For running models locally, priced in Canada. At 128k context the first runs 23 models fully in memory, the second 51.

In short

The NVIDIA RTX PRO 4500 Blackwell has more memory for models: 32 GB against 16 GB. At 128k context the NVIDIA RTX PRO 4500 Blackwell runs 51 of the models we track fully in memory and the NVIDIA GeForce RTX 5080 23; only the NVIDIA RTX PRO 4500 Blackwell holds Qwen 3.8 27B. On the models both run fully in memory, the NVIDIA GeForce RTX 5080 is about 1.1× as fast as the NVIDIA RTX PRO 4500 Blackwell (estimated, median across models). In Canada the NVIDIA GeForce RTX 5080 costs $7,000 at eBay and the NVIDIA RTX PRO 4500 Blackwell $10,325 at eBay: the NVIDIA GeForce RTX 5080 is $3,325 cheaper.

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

Specifications

SpecNVIDIA GeForce RTX 5080NVIDIA RTX PRO 4500 Blackwell
GPUGeForce RTX 5080RTX PRO 4500 Blackwell
Memory16 GB GDDR732 GB GDDR7
Memory bus256-bit256-bit
Memory bandwidth960 GB/s896 GB/s
FP16 compute113 TFLOPS54.94 TFLOPS
SoftwareCUDACUDA
Board power360 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 5080NVIDIA RTX PRO 4500 Blackwell
Qwen 3.8 27Boffload18tok/sUD-Q6_K
Qwen 3.6 27Boffload18tok/sQ6_K
Gemma 4 31Boffload19tok/sQ4_K_M
Qwen 3.6 35B-A3Boffload64tok/sUD-Q6_K
Qwen 3.5 27Boffload18tok/sQ6_K
Gemma 4 26B-A4Boffload47tok/sQ8_0
Qwen 3.5 35B-A3Boffload65tok/sQ6_K
GLM 4.7 Flashoffload30tok/sQ6_K
Nemotron 3.5 Lightning 30B-A3Boffload90tok/sUD-Q5_K_M
gpt-oss 20B64tok/sQ4_K_M59tok/sMXFP4
Kimi Linear 48B-A3Boffload114tok/sQ4_K_M
Qwen3 Coder 30B-A3Boffload23tok/sQ4_K_M
Gemma 4 12B49tok/sQ6_K37tok/sQ8_0
Qwen 3.5 9B43tok/sQ8_040tok/sQ8_0
Gemma 3 27Boffload18tok/sQ5_K_M
Ministral 3 14Boffload18tok/sQ5_K_M
Qwen3 14Boffload17tok/sQ5_K_M
DeepSeek R1 0528 Qwen3 8Boffload20tok/sQ8_0
Qwen3 8Boffload20tok/sQ8_0
Qwen 3.5 4B67tok/sQ8_063tok/sQ8_0
Ministral 3 8Boffload20tok/sQ8_0
Granite 4.2 8Boffload18tok/sQ8_0
Gemma 4 E4B50tok/sQ8_046tok/sQ8_0
LFM2.5 8B-A1B49tok/sUD-Q6_K44tok/sQ8_0
Llama 3.1 8Boffload23tok/sQ6_K
Qwen2.5 0.5B278tok/sQ8_0259tok/sQ8_0
Qwen3.5 0.8B244tok/sQ8_0228tok/sQ8_0
Qwen3.5 2B194tok/sQ5_K_M181tok/sQ5_K_M
LFM3 1.7B172tok/sQ8_0160tok/sQ8_0
DeepSeek R1 Distill Qwen 1.5B105tok/sQ8_098tok/sQ8_0
Mellum2.1 12B A2.5B Thinking78tok/sQ8_073tok/sQ8_0
Spark X2.5 4B75tok/smlx-4bit70tok/smlx-4bit
MiniCPM5 2B72tok/sQ8_067tok/sQ8_0
FrogNano 4B 260966tok/sQ8_062tok/sQ8_0
Kimi VL A3B Thinking 250660tok/sQ4_K_M46tok/sQ8_0
LFM2.5 2.6B55tok/sQ8_051tok/sQ8_0
LFM2.5 VL 3B55tok/sQ8_051tok/sQ8_0
GLM 4.6V Flash52tok/sQ4_K_M36tok/sQ8_0
GLM 4 9B 041444tok/smlx-5bit41tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B43tok/sQ6_K36tok/sQ8_0
granite vision 4.1 4b42tok/sQ8_039tok/sQ8_0
granite 4.2 3b41tok/sQ8_038tok/sQ8_0
Kimi VL A3Boffload45tok/smlx-8bit
Ministral 3 3B Instruct 2512offload32tok/sQ8_0
GLM 4.1V 9B Thinkingoffload32tok/smlx-8bit
Muse Glimmer 30Boffload22tok/sQ6_K
DeepSeek R1 Distill Llama 8Boffload22tok/sQ8_0
LFM2.5 24B A2Boffload27tok/sQ6_K
Ministral 3 8B Reasoning 2512offload20tok/sQ8_0
Qwen3.8 27B OBLITERATEDoffload19tok/smlx-4bit
Ministral 3 14B Reasoning 2512offload18tok/sQ5_K_M
Qwen 3.5 122B-A10Bwon't runoffload
Nemotron 3 Super 120B-A12Bwon't runoffload
Qwen3 Coder Nextwon't runoffload
Mistral Small 4 119Bwon't runoffload
Devstral Small 2 24Boffloadoffload
Qwen3 Next 80B-A3Bwon't runoffload
Qwen3 32Bwon't runoffload
Mistral Small 3.2 24Boffloadoffload
DeepSeek R1 Distill Qwen 32Bwon't runoffload
Phi-4 14Boffloadoffload
DeepSeek R1 Distill Qwen 14Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
granite 4.2 30bwon't runoffload
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 5080 or the NVIDIA RTX PRO 4500 Blackwell?
Choose the NVIDIA RTX PRO 4500 Blackwell to run bigger models. Choose the NVIDIA GeForce RTX 5080 for speed. Choose the NVIDIA GeForce RTX 5080 to spend less.
Which can run bigger models, the NVIDIA GeForce RTX 5080 or the NVIDIA RTX PRO 4500 Blackwell?
At 128k context the NVIDIA RTX PRO 4500 Blackwell runs 51 of the models we track fully in memory and the NVIDIA GeForce RTX 5080 23; only the NVIDIA RTX PRO 4500 Blackwell holds Qwen 3.8 27B.
Which is faster for local AI, the NVIDIA GeForce RTX 5080 or the NVIDIA RTX PRO 4500 Blackwell?
On the models both run fully in memory, the NVIDIA GeForce RTX 5080 is about 1.1× as fast as the NVIDIA RTX PRO 4500 Blackwell (estimated, median across models).
What is the price difference between the NVIDIA GeForce RTX 5080 and the NVIDIA RTX PRO 4500 Blackwell?
In Canada the NVIDIA GeForce RTX 5080 costs $7,000 at eBay and the NVIDIA RTX PRO 4500 Blackwell $10,325 at eBay: the NVIDIA GeForce RTX 5080 is $3,325 cheaper.

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