readygpu

NVIDIA GeForce RTX 3090 vs NVIDIA RTX PRO 4000 Blackwell

For running models locally, priced in the US. At 32k context the first runs 57 models fully in memory, the second 57.

In short

Both have 24 GB of memory for models; the NVIDIA GeForce RTX 3090 has 936 GB/s of bandwidth and the NVIDIA RTX PRO 4000 Blackwell 672 GB/s. At 32k context both run the same 57 models we track fully in memory. On the models both run fully in memory, the NVIDIA GeForce RTX 3090 is about 1.4× as fast as the NVIDIA RTX PRO 4000 Blackwell (estimated, median across models).

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

NVIDIA GeForce RTX 3090

$1,600

eBay

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NVIDIA RTX PRO 4000 Blackwell

Not priced here

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Specifications

SpecNVIDIA GeForce RTX 3090NVIDIA RTX PRO 4000 Blackwell
GPUGeForce RTX 3090RTX PRO 4000 Blackwell
Memory24 GB GDDR6X24 GB GDDR7
Memory bus384-bit192-bit
Memory bandwidth936 GB/s672 GB/s
FP16 compute71 TFLOPS46.9 TFLOPS
SoftwareCUDACUDA
Board power350 W145 W
PCIe generationGen 4Gen 5
PCIe lanesx16x16

What each runs

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

ModelNVIDIA GeForce RTX 3090NVIDIA RTX PRO 4000 Blackwell
Qwen 3.8 27B25tok/sQ5_K_M18tok/sQ5_K_M
Qwen 3.6 27B27tok/sQ5_K_M19tok/sQ5_K_M
Gemma 4 31B27tok/sQ4_K_M19tok/sQ4_K_M
Qwen 3.6 35B-A3B134tok/sQ4_K_M96tok/sQ4_K_M
Qwen 3.5 27B27tok/sQ5_K_M19tok/sQ5_K_M
Gemma 4 26B-A4B78tok/sUD-Q6_K56tok/sUD-Q6_K
Qwen 3.5 35B-A3B135tok/sQ4_K_M97tok/sQ4_K_M
GLM 4.7 Flash65tok/sQ5_K_M47tok/sQ5_K_M
Devstral Small 2 24B26tok/sQ5_K_M19tok/sQ5_K_M
Nemotron 3.5 Lightning 30B-A3B142tok/sMXFP4102tok/sMXFP4
gpt-oss 20B108tok/sMXFP477tok/sMXFP4
Qwen3 Coder 30B-A3B69tok/sQ4_K_M50tok/sQ4_K_M
Gemma 4 12B43tok/sQ8_031tok/sQ8_0
Qwen 3.5 9B55tok/sQ8_039tok/sQ8_0
Mistral Small 3.2 24B26tok/sQ5_K_M19tok/sQ5_K_M
Gemma 3 27B26tok/sQ5_K_M19tok/sQ5_K_M
Ministral 3 14B29tok/sQ8_021tok/sQ8_0
Qwen3 14B28tok/sQ8_020tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B43tok/sQ8_031tok/sQ8_0
Qwen3 8B43tok/sQ8_031tok/sQ8_0
Phi-4 14B26tok/sQ8_019tok/sQ8_0
Qwen 3.5 4B104tok/sQ8_074tok/sQ8_0
Ministral 3 8B43tok/sQ8_031tok/sQ8_0
Granite 4.2 8B39tok/sQ8_028tok/sQ8_0
Gemma 4 E4B63tok/sQ8_045tok/sQ8_0
LFM2.5 8B-A1B130tok/sQ8_094tok/sQ8_0
Llama 3.1 8B53tok/sQ6_K38tok/sQ6_K
Qwen2.5 0.5B622tok/sQ8_0446tok/sQ8_0
Qwen3.5 0.8B471tok/sQ8_0338tok/sQ8_0
Qwen3.5 2B313tok/sQ5_K_M224tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B205tok/sQ8_0147tok/sQ8_0
MiniCPM5 2B142tok/sQ8_0102tok/sQ8_0
Spark X2.5 4B135tok/smlx-4bit97tok/smlx-4bit
LFM2.5 2.6B119tok/sQ8_085tok/sQ8_0
LFM2.5 VL 3B119tok/sQ8_085tok/sQ8_0
Mellum2.1 12B A2.5B Thinking110tok/sQ8_079tok/sQ8_0
FrogNano 4B 2609101tok/sQ8_073tok/sQ8_0
granite vision 4.1 4b92tok/sQ8_066tok/sQ8_0
granite 4.2 3b88tok/sQ8_063tok/sQ8_0
Kimi VL A3B Thinking 250685tok/sQ8_061tok/sQ8_0
Kimi VL A3B81tok/smlx-8bit58tok/smlx-8bit
Ministral 3 3B Instruct 251281tok/sQ8_058tok/sQ8_0
LFM2.5 24B A2B78tok/sQ6_K56tok/sQ6_K
GLM 4 9B 041461tok/smlx-5bit43tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B58tok/sQ8_042tok/sQ8_0
GLM 4.6V Flash51tok/sQ8_037tok/sQ8_0
DeepSeek R1 Distill Llama 8B45tok/sQ8_033tok/sQ8_0
GLM 4.1V 9B Thinking44tok/smlx-8bit32tok/smlx-8bit
Ministral 3 8B Reasoning 251243tok/sQ8_031tok/sQ8_0
Ministral 3 14B Reasoning 251229tok/sQ8_021tok/sQ8_0
DeepSeek R1 Distill Qwen 14B26tok/sQ8_019tok/sQ8_0
Devstral Small 250726tok/sQ5_K_M19tok/sQ5_K_M
Magistral Small 250626tok/sQ5_K_M19tok/sQ5_K_M
Magistral Small 250726tok/sQ5_K_M19tok/sQ5_K_M
Magistral Small 250926tok/sQ5_K_M19tok/sQ5_K_M
Qwen3.8 27B OBLITERATED25tok/smlx-4bit18tok/smlx-4bit
Muse Glimmer 30B24tok/sQ6_K17tok/sQ6_K
Qwen 3.5 122B-A10Boffloadoffload
Qwen3 Coder Nextoffloadoffload
Mistral Small 4 119Boffloadoffload
GLM 4.5 Airoffloadoffload
Qwen3 Next 80B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 32Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
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
Nemotron 3 Super 120B-A12Bwon't runwon't run
gpt-oss 120Bwon'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 3090 or the NVIDIA RTX PRO 4000 Blackwell?
Choose the NVIDIA GeForce RTX 3090 for speed.
Which can run bigger models, the NVIDIA GeForce RTX 3090 or the NVIDIA RTX PRO 4000 Blackwell?
At 32k context both run the same 57 models we track fully in memory.
Which is faster for local AI, the NVIDIA GeForce RTX 3090 or the NVIDIA RTX PRO 4000 Blackwell?
On the models both run fully in memory, the NVIDIA GeForce RTX 3090 is about 1.4× as fast as the NVIDIA RTX PRO 4000 Blackwell (estimated, median across models).

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