NVIDIA · Blackwell
Best AI Models for NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU (6 GB)
Runs only small models well; 7–9B only just fits.
6 GB GDDR7288 GB/s37 TFLOPS FP1675 WBlackwell 2025
6 GB at 288 GB/s: ~7-8B Q4 models with a short context.
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 57.4 t/s | 57.4 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 65.9 t/s | 65.9 tok/s | Q4_K_M · 5.0 GB | |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s | 54.6 tok/s | Q4_K_M · 3.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s | 63.2 tok/s | Q4_K_M · 4.3 GB | |
| 5 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s | 98.5 tok/s | Q4_K_M · 2.5 GB |
| # | Model | Speed | Reasoning Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Q4_K_M · 5.0 GB · 65.9 t/s | 65.9 tok/s | Q4_K_M · 5.0 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 57.4 t/s | 57.4 tok/s | overall | Q4_K_M · 3.4 GB |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s | 54.6 tok/s | Q4_K_M · 3.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s | 63.2 tok/s | Q4_K_M · 4.3 GB | |
| 5 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s | 98.5 tok/s | Q4_K_M · 2.5 GB |
| # | Model | Speed | Long context Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 57.4 t/s | 57.4 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s | 54.6 tok/s | Q4_K_M · 3.5 GB | |
| 3 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s | 63.2 tok/s | Q4_K_M · 4.3 GB | |
| 4 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s | 98.5 tok/s | Q4_K_M · 2.5 GB | |
| 5 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 146 t/s | 146 tok/s | Q4_K_M · 1.6 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 57.4 t/s | 57.4 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 158 t/s | 158 tok/s | Q4_K_M · 5.5 GB | |
| 3 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s | 98.5 tok/s | Q4_K_M · 2.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s | 63.2 tok/s | Q4_K_M · 4.3 GB | |
| 5 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s | 54.6 tok/s | Q4_K_M · 3.5 GB |
| # | Model | Speed | Vision Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 57.4 t/s | 57.4 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 65.9 t/s | 65.9 tok/s | Q4_K_M · 5.0 GB | |
| 3 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 146 t/s | 146 tok/s | Q4_K_M · 1.6 GB | |
| 4 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 110 t/s | 110 tok/s | Q4_K_M · 2.4 GB | |
| 5 | Cosmos Reason2 2BNVIDIA Q4_K_M · 3.5 GB · 116 t/s | 116 tok/s | Q4_K_M · 3.5 GB |
See all 193 models on the RTX PRO 500 Blackwell Generation Laptop GPU →Best quant that fits · speeds estimated on this card
The RTX PRO 500 Blackwell Generation Laptop GPU runs only small models well. Blackwell generation, released 2025.
GenerationBlackwellreleased 2025
RTX PRO 500 Blackwell Generation Laptop GPU strengths and weaknesses
Strengths
- Runs 7–9B models: Qwen3.5 9B at 33.9 tok/s in 5.8 GB
- Reads long prompts fast: A 4K-token prompt on Qwen3.5 4B starts answering in 2.3 s
- Low power draw: 75 W board power; a 150 W PSU is enough
Weaknesses
- 14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 6 GB here
- Little room for context: Qwen3.5 9B uses 5.8 of 6 GB, 0.2 GB left
Output speed depends on memory bandwidth (288 GB/s). Grey rows need more than 6 GB.
- 33.9tok/s
- 14BQwen3 14B · not at 4-bitneeds 11.9 GB
- 27–31BQwen3.8 27B · not at 4-bitneeds 17.9 GB
- 35B MoEQwen3.6 35B A3B · not at 4-bitneeds 22.0 GB
- 70BLlama 3.3 70B Instruct · not at 4-bitneeds 51.3 GB
- 120B MoEGPT OSS 120B · not at 4-bitneeds 70.8 GB
Estimated speeds: Q4_K_M, 4K context, one user. How we estimate
All 193 models on the RTX PRO 500 Blackwell Generation Laptop GPU
Featured onlyBest quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works
| Model | Quant | VRAM | Speed | Context | Score | Fit |
|---|---|---|---|---|---|---|
Qwen3.5 4BVisionFunctions | Q4_K_M | 3.4 GB | 57.4 t/s | 262K | A82, Runs well | |
Gemma 4 E2B ITChatFunctions | Q4_K_M | 3.5 GB | 54.6 t/s | 131K | A81, Runs well | |
Spark X2.6 4BChatFunctions | Q4_K_M | 4.3 GB | 63.2 t/s | 1049K | A84, Runs well | |
MiniCPM5 2BChatFunctions | Q4_K_M | 2.5 GB | 98.5 t/s | 131K | S91, Runs great | |
Ling 3.0 TinyChatFunctions | Q4_K_M | 5.5 GB | 158.4 t/s | 131K | A80, Runs well | |
Gemma 4 E4B ITChatFunctions | Q4_K_M | 5.6 GB | 35.2 t/s | 131K | B53, Decent | |
Unlimited OCRVision | Q4_K_M | 3.3 GB | 196.1 t/s | 33K | S100, Runs great | |
MiniCPM V 4.7 1BVisionFunctions | Q4_K_M | 1.6 GB | 146.3 t/s | 262K | S97, Runs great | |
LFM3 1.7BChatFunctions | Q4_K_M | 2.1 GB | 130.0 t/s | 262K | S95, Runs great | |
LFM3 Omni 2BVisionChatFunctions | Q4_K_M | 2.4 GB | 110.1 t/s | 128K | S93, Runs great | |
LFM3 VL 2BVisionChatFunctions | Q4_K_M | 2.3 GB | 120.8 t/s | 128K | S95, Runs great | |
D1 2BVisionFunctions | Q4_K_M | 2.3 GB | 120.8 t/s | 128K | S95, Runs great | |
MiniCPM V 4.6VisionFunctions | Q4_K_M | 1.5 GB | 165.7 t/s | 262K | S98, Runs great | |
North Micro Vision InstructVisionChat | Q4_K_M | 3.7 GB | 92.2 t/s | 500K | S90, Runs great | |
D1 Omni 600MVision | Q4_K_M | 1.2 GB | 260.0 t/s | 128K | S100, Runs great |
Specs
- Architecture
- Blackwell
- VRAM
- 6 GB GDDR7
- Memory bandwidth
- 288.0 GB/s
- FP16 (dense)
- 36.75 TFLOPS
- CUDA cores
- 1,792
- Tensor cores
- 56
- Compute capability
- 12.0
- TDP
- 75 W
- Released
- 2025-03-18
RTX PRO 500 Blackwell Generation Laptop GPU FAQ
What is the largest model the RTX PRO 500 Blackwell Generation Laptop GPU can run?
Qwen2.5 7B Instruct (7.6B) is the largest at 4-bit or better: at Q4_K_M it uses 5.8 GB of 6 GB, and runs at about 37.5 tok/s. At 3-bit, a bigger model fits too: Gemma 2 9B IT (9.2B) at IQ3_M, 5.7 GB.
Can the RTX PRO 500 Blackwell Generation Laptop GPU run Qwen3.5 4B?
Yes. Qwen3.5 4B fits at Q4_K_M, using 3.4 GB of 6 GB, and it is the best model that runs well on this card.
Can the RTX PRO 500 Blackwell Generation Laptop GPU run 14B models?
No. Qwen3 14B needs 11.9 GB at Q4, more than the 6 GB on this card.
How many tokens per second does the RTX PRO 500 Blackwell Generation Laptop GPU give?
About 57.4 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 2.3 s on a 4K-token prompt.
What power supply does the RTX PRO 500 Blackwell Generation Laptop GPU need?
Plan a 150 W PSU (2× the 75 W TDP).