readygpu

NVIDIA GeForce RTX 5080 vs NVIDIA RTX PRO 6000 Blackwell

For running models locally, priced in Canada. At 64k context the first runs 30 models fully in memory, the second 74.

In short

The NVIDIA RTX PRO 6000 Blackwell has more memory for models: 96 GB against 16 GB. At 64k context the NVIDIA RTX PRO 6000 Blackwell runs 74 of the models we track fully in memory and the NVIDIA GeForce RTX 5080 30; only the NVIDIA RTX PRO 6000 Blackwell holds Qwen 3.8 Flash Next. On the models both run fully in memory, the NVIDIA RTX PRO 6000 Blackwell is about 1.9× as fast as the NVIDIA GeForce RTX 5080 (estimated, median across models). In Canada the NVIDIA GeForce RTX 5080 costs $2,570 at eBay and the NVIDIA RTX PRO 6000 Blackwell $3,258 at Amazon: the NVIDIA GeForce RTX 5080 is $688 cheaper.

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

NVIDIA GeForce RTX 5080

$2,570

eBay

Add to build
NVIDIA RTX PRO 6000 Blackwell

$3,258

Amazon

Add to build

Specifications

SpecNVIDIA GeForce RTX 5080NVIDIA RTX PRO 6000 Blackwell
GPUGeForce RTX 5080RTX PRO 6000 Blackwell
Memory16 GB GDDR796 GB GDDR7
Memory bus256-bit512-bit
Memory bandwidth960 GB/s1,792 GB/s
FP16 compute113 TFLOPS504 TFLOPS
SoftwareCUDACUDA
Board power360 W600 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 6000 Blackwell
Qwen 3.8 Flash Nextwon't run21tok/sUD-Q3_K_XL
Qwen 3.8 27Boffload33tok/sQ8_0
MiniMax M2.7won't run33tok/sUD-Q2_K_XL
Qwen 3.5 122B-A10Bwon't run73tok/sQ5_K_M
Qwen 3.6 27Boffload34tok/sQ8_0
Gemma 4 31Boffload29tok/sQ8_0
Nemotron 3 Super 120B-A12Bwon't run66tok/sQ5_K_M
Qwen3 Coder Nextwon't run115tok/sQ8_0
gpt-oss 120Bwon't run120tok/sMXFP4
Mistral Small 4 119Boffload90tok/sUD-Q6_K
Qwen 3.6 35B-A3Boffload149tok/sQ8_0
Qwen 3.5 27Boffload34tok/sQ8_0
Gemma 4 26B-A4Boffload117tok/sQ8_0
GLM 4.5 Airwon't run29tok/sQ5_K_M
Qwen 3.5 35B-A3Boffload149tok/sQ8_0
GLM 4.7 Flashoffload76tok/sQ8_0
Devstral Small 2 24Boffload31tok/sQ8_0
Qwen3 Next 80B-A3Bwon't run139tok/sQ8_0
Nemotron 3.5 Lightning 30B-A3Boffload177tok/sUD-Q6_K_XL
gpt-oss 20B88tok/sMXFP4165tok/sMXFP4
Kimi Linear 48B-A3Boffload177tok/sQ8_0
Qwen3 Coder 30B-A3Boffload69tok/sQ8_0
Qwen3 32Boffload21tok/sQ8_0
Gemma 4 12B42tok/sQ8_079tok/sQ8_0
Qwen 3.5 9B51tok/sQ8_095tok/sQ8_0
Gemma 3 27Boffload32tok/sQ8_0
Mistral Small 3.2 24Boffload31tok/sQ8_0
DeepSeek R1 Distill Qwen 32Boffload21tok/sQ8_0
Llama 3.3 70Bwon't run12tok/sQ8_0
Ministral 3 14Boffload44tok/sQ8_0
Qwen3 14Boffload42tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B41tok/sQ4_K_M61tok/sQ8_0
Qwen3 8B41tok/sQ4_K_M61tok/sQ8_0
Phi-4 14Boffload38tok/sQ8_0
Qwen 3.5 4B89tok/sQ8_0166tok/sQ8_0
Ministral 3 8B39tok/sQ5_K_M61tok/sQ8_0
Granite 4.2 8Boffload55tok/sQ8_0
Gemma 4 E4B59tok/sQ8_0110tok/sQ8_0
LFM2.5 8B-A1B83tok/sQ8_0156tok/sQ8_0
Llama 3.1 8B39tok/sQ6_K73tok/sQ6_K
Qwen2.5 0.5B445tok/sQ8_0831tok/sQ8_0
Qwen3.5 0.8B364tok/sQ8_0679tok/sQ8_0
Qwen3.5 2B263tok/sQ5_K_M492tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B158tok/sQ8_0294tok/sQ8_0
MiniCPM5 2B108tok/sQ8_0202tok/sQ8_0
Spark X2.5 4B108tok/smlx-4bit202tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking98tok/sQ8_0183tok/sQ8_0
Kimi VL A3B Thinking 250690tok/sQ4_K_M130tok/sQ8_0
FrogNano 4B 260987tok/sQ8_0163tok/sQ8_0
LFM2.5 2.6B86tok/sQ8_0161tok/sQ8_0
LFM2.5 VL 3B86tok/sQ8_0161tok/sQ8_0
Kimi VL A3B85tok/smlx-5bit126tok/smlx-8bit
granite vision 4.1 4b66tok/sQ8_0124tok/sQ8_0
granite 4.2 3b64tok/sQ8_0120tok/sQ8_0
GLM 4 9B 041454tok/smlx-5bit102tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B50tok/sQ8_094tok/sQ8_0
GLM 4.6V Flash47tok/sQ8_088tok/sQ8_0
GLM 4.1V 9B Thinking41tok/smlx-8bit77tok/smlx-8bit
DeepSeek R1 Distill Llama 8B39tok/sQ6_K65tok/sQ8_0
Ministral 3 8B Reasoning 251239tok/sQ5_K_M61tok/sQ8_0
LFM2.5 24B A2Boffload89tok/sQ8_0
DeepSeek R1 Distill Qwen 14Boffload39tok/sQ8_0
Devstral Small 2507offload31tok/sQ8_0
Magistral Small 2506offload31tok/sQ8_0
Magistral Small 2507offload31tok/sQ8_0
Magistral Small 2509offload31tok/sQ8_0
Qwen3.8 27B OBLITERATEDoffload44tok/smlx-4bit
granite 4.2 30boffload23tok/sQ8_0
DeepSeek R1 Distill Llama 70Bwon't run12tok/sQ8_0
Devstral 2 123B Instruct 2512won't run11tok/sQ4_K_M
GLM 4.5Vwon't run32tok/sQ4_K_M
GLM 4.6Vwon't run31tok/sQ4_K_M
Kimi Dev 72Bwon't run11tok/sQ8_0
Mistral Medium 3.5 128Bwon't run11tok/sQ4_K_M
DeepSeek V4 Flashwon't runoffload
GLM 5.3 Flashwon't runoffload
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Zerowon'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
GLM 4.5won't runwon't run
GLM 4.6won'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 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

Questions

Which is better for local AI, the NVIDIA GeForce RTX 5080 or the NVIDIA RTX PRO 6000 Blackwell?
Choose the NVIDIA RTX PRO 6000 Blackwell to run bigger models. Choose the NVIDIA RTX PRO 6000 Blackwell 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 6000 Blackwell?
At 64k context the NVIDIA RTX PRO 6000 Blackwell runs 74 of the models we track fully in memory and the NVIDIA GeForce RTX 5080 30; only the NVIDIA RTX PRO 6000 Blackwell holds Qwen 3.8 Flash Next.
Which is faster for local AI, the NVIDIA GeForce RTX 5080 or the NVIDIA RTX PRO 6000 Blackwell?
On the models both run fully in memory, the NVIDIA RTX PRO 6000 Blackwell is about 1.9× as fast as the NVIDIA GeForce RTX 5080 (estimated, median across models).
What is the price difference between the NVIDIA GeForce RTX 5080 and the NVIDIA RTX PRO 6000 Blackwell?
In Canada the NVIDIA GeForce RTX 5080 costs $2,570 at eBay and the NVIDIA RTX PRO 6000 Blackwell $3,258 at Amazon: the NVIDIA GeForce RTX 5080 is $688 cheaper.

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