NVIDIA · Blackwell · 12 GB VRAM tier
Best AI Models for NVIDIA RTX PRO 3000 Blackwell Generation Laptop GPU (12 GB)
Runs 7–9B models well; 14B only just fits.
12 GB GDDR7672 GB/s124 TFLOPS FP16140 WBlackwell 2025
12 GB at 672 GB/s with ECC: ~13-14B Q4 models, decodes fast for a 12 GB card.
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s | 134 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 54.3 t/s | 54.3 tok/s | Q4_K_M · 10.9 GB | |
| 4 | Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 71.6 t/s | 71.6 tok/s | Q4_K_M · 7.3 GB | |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 289 t/s | 289 tok/s | Q4_K_M · 5.5 GB |
| # | Model | Speed | Coding Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Q4_K_M · 7.9 GB · 82.4 t/s | 82.4 tok/s | Q4_K_M · 7.9 GB | |
| 2 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | overall | Q4_K_M · 6.6 GB |
| 3 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s | 134 tok/s | overall | Q4_K_M · 3.4 GB |
| 4 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s | 53.1 tok/s | Q4_K_M · 9.0 GB | |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 289 t/s | 289 tok/s | Q4_K_M · 5.5 GB |
| # | Model | Speed | Reasoning Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 79.1 t/s | 79.1 tok/s | Q4_K_M · 7.6 GB | |
| 3 | Q4_K_M · 7.9 GB · 82.4 t/s | 82.4 tok/s | Q4_K_M · 7.9 GB | |
| 4 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 154 t/s | 154 tok/s | Q4_K_M · 5.0 GB | |
| 5 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s | 53.1 tok/s | Q4_K_M · 9.0 GB |
| # | Model | Speed | Long context Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s | 134 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Q4_K_M · 7.9 GB · 82.4 t/s | 82.4 tok/s | Q4_K_M · 7.9 GB | |
| 4 | Mistral Nemo Instruct 2407Mistral AI Q4_K_M · 11.0 GB · 54.1 t/s | 54.1 tok/s | Q4_K_M · 11.0 GB | |
| 5 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s | 53.1 tok/s | Q4_K_M · 9.0 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 134 t/s | 134 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 289 t/s | 289 tok/s | Q4_K_M · 5.5 GB | |
| 3 | Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 79.1 t/s | 79.1 tok/s | Q4_K_M · 7.6 GB | |
| 4 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | Q4_K_M · 6.6 GB | |
| 5 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s | 53.1 tok/s | Q4_K_M · 9.0 GB |
| # | Model | Speed | Vision Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s | 134 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 54.3 t/s | 54.3 tok/s | Q4_K_M · 10.9 GB | |
| 4 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 154 t/s | 154 tok/s | Q4_K_M · 5.0 GB | |
| 5 | Q4_K_M · 6.5 GB · 70.3 t/s | 70.3 tok/s | Q4_K_M · 6.5 GB |
See all 278 models on the RTX PRO 3000 Blackwell Generation Laptop GPU →Best quant that fits · speeds estimated on this card
The RTX PRO 3000 Blackwell Generation Laptop GPU runs 7–9B models well. Blackwell generation, released 2025.
GenerationBlackwellreleased 2025
RTX PRO 3000 Blackwell Generation Laptop GPU strengths and weaknesses
Strengths
- Runs 14B models: Qwen3 14B at 46.0 tok/s in 11.9 GB
- Reads long prompts fast: A 4K-token prompt on Qwen3.5 9B starts answering in 1.4 s
- Low power draw: 140 W board power; a 300 W PSU is enough
Weaknesses
- 27–31B models don't fit: Qwen3.8 27B needs 17.9 GB at Q4 vs 12 GB here
- Little room for context: Qwen3 14B uses 11.9 of 12 GB, 0.1 GB left
Output speed depends on memory bandwidth (672 GB/s). Grey rows need more than 12 GB.
- 9BQwen3.5 9B · Q4_K_M · 6.6 GB68.7tok/s
- 46.0tok/s
- 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 278 models on the RTX PRO 3000 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 9BVisionFunctions | Q4_K_M | 6.6 GB | 68.7 t/s | 262K | S85, Runs great | |
Gemma 4 12B ITChatFunctions | Q4_K_M | 9.0 GB | 53.1 t/s | 262K | A81, Runs well | |
Qwen3.8 27BVisionFunctions | IQ3_XXS | 12.0 GB | 37.9 t/s | 262K | C43, Usable | |
Ling 3.0 TinyChatFunctions | Q4_K_M | 5.5 GB | 289.0 t/s | 131K | S100, Runs great | |
MiMo V2.6 Distill Qwen 9BVisionCodeFunctions | Q4_K_M | 6.5 GB | 70.3 t/s | 262K | S86, Runs great | |
Spark X2.6 4BChatFunctions | Q4_K_M | 4.3 GB | 147.6 t/s | 1049K | S97, Runs great | |
Qwen3.5 4BVisionFunctions | Q4_K_M | 3.4 GB | 134.0 t/s | 262K | S95, Runs great | |
MiniCPM5 2BChatFunctions | Q4_K_M | 2.5 GB | 229.9 t/s | 131K | S100, Runs great | |
Ornith 1.5 9BChatFunctions | Q4_K_M | 6.6 GB | 68.7 t/s | 262K | S85, Runs great | |
NVIDIA Nemotron 3.5 Bolt E4B BF16ChatFunctions | Q4_K_M | 5.6 GB | 82.1 t/s | 66K | S88, Runs great | |
ZAYA1 VL 8BVision | Q4_K_M | 7.5 GB | 308.8 t/s | 33K | S100, Runs great | |
LFM3 Omni 2BVisionChatFunctions | Q4_K_M | 2.4 GB | 256.9 t/s | 128K | S100, Runs great | |
Gemma 4 E4B ITChatFunctions | Q4_K_M | 5.6 GB | 82.1 t/s | 131K | S88, Runs great | |
LFM2.5 8B A1BChatFunctions | Q4_K_M | 5.6 GB | 262.0 t/s | 128K | S100, Runs great | |
LFM3 1.7BChatFunctions | Q4_K_M | 2.1 GB | 303.3 t/s | 262K | S100, Runs great |
Specs
- Architecture
- Blackwell
- VRAM
- 12 GB GDDR7
- Memory bandwidth
- 672.0 GB/s
- FP16 (dense)
- 124.00 TFLOPS
- CUDA cores
- 5,888
- Tensor cores
- 184
- Compute capability
- 12.0
- TDP
- 140 W
- Released
- 2025-03-18
RTX PRO 3000 Blackwell Generation Laptop GPU FAQ
What is the largest model the RTX PRO 3000 Blackwell Generation Laptop GPU can run?
GPT OSS 20B (20.9B) is the largest at 4-bit or better: at IQ4_XS it uses 11.8 GB of 12 GB, and runs at about 150 tok/s.
Can the RTX PRO 3000 Blackwell Generation Laptop GPU run Qwen3.5 9B?
Yes. Qwen3.5 9B fits at Q4_K_M, using 6.6 GB of 12 GB, and it is the best model that runs well on this card.
Can the RTX PRO 3000 Blackwell Generation Laptop GPU run 27–31B models?
No. Qwen3.8 27B needs 17.9 GB at Q4, more than the 12 GB on this card.
How many tokens per second does the RTX PRO 3000 Blackwell Generation Laptop GPU give?
About 68.7 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 1.4 s on a 4K-token prompt.
What power supply does the RTX PRO 3000 Blackwell Generation Laptop GPU need?
Plan a 300 W PSU (2× the 140 W TDP).
Is 12 GB enough for coding and agents?
Yes for coding: Llama 3.1 8B Instruct, the only coding-scored model that fits, runs at about 82 tok/s. For agents, not yet: no agent-scored model fits in less than 96 GB.