NVIDIA · Ampere
Best AI Models for NVIDIA GeForce RTX 3050 Laptop GPU (4 GB)
Runs only small models well; 7–9B doesn't fit in 4 GB.
Laptop RTX 3050 has 4 GB (not the desktop 8 GB), so only ~3B-class Q4 models fit fully on the GPU. Performance varies strongly with the chassis power limit (35-80 W).
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 38.3 t/s | 38.3 tok/s | Q4_K_M · 3.4 GB | |
| 2 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 65.7 t/s | 65.7 tok/s | Q4_K_M · 2.5 GB | |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 36.4 t/s | 36.4 tok/s | Q4_K_M · 3.5 GB | |
| 4 | LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 86.7 t/s | 86.7 tok/s | Q4_K_M · 2.1 GB | |
| 5 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 73.4 t/s | 73.4 tok/s | Q4_K_M · 2.4 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 38.3 t/s | 38.3 tok/s | Q4_K_M · 3.4 GB | |
| 2 | LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 86.7 t/s | 86.7 tok/s | Q4_K_M · 2.1 GB | |
| 3 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 73.4 t/s | 73.4 tok/s | Q4_K_M · 2.4 GB | |
| 4 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 65.7 t/s | 65.7 tok/s | Q4_K_M · 2.5 GB | |
| 5 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 36.4 t/s | 36.4 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 · 38.3 t/s | 38.3 tok/s | Q4_K_M · 3.4 GB | |
| 2 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 73.4 t/s | 73.4 tok/s | Q4_K_M · 2.4 GB | |
| 3 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 97.5 t/s | 97.5 tok/s | Q4_K_M · 1.6 GB | |
| 4 | Qwen3.5 2BAlibaba Q4_K_M · 1.9 GB · 70.5 t/s | 70.5 tok/s | Q4_K_M · 1.9 GB | |
| 5 | Cosmos Reason2 2BNVIDIA Q4_K_M · 3.5 GB · 77.5 t/s | 77.5 tok/s | Q4_K_M · 3.5 GB |
The RTX 3050 Laptop GPU runs only small models well. Ampere generation, released 2021.
RTX 3050 Laptop GPU strengths and weaknesses
Strengths
- Low power draw: 80 W board power; a 200 W PSU is enough
Weaknesses
- 7–9B models don't fit: Qwen3.5 9B needs 6.6 GB at Q4 vs 4 GB here
- Slow prompt reading: A 4K-token prompt on Qwen3.5 4B waits 6.0 s for the first token
- No FP8 or NVFP4: Ampere predates both; use GGUF, AWQ or GPTQ builds
Cards people weigh against the RTX 3050 Laptop GPU, each with the one reason it is worth a look.
Output speed depends on memory bandwidth (192 GB/s). Grey rows need more than 4 GB.
- 9BQwen3.5 9B · not at 4-bitneeds 6.6 GB
- 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 562 models on the RTX 3050 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 |
|---|---|---|---|---|---|---|
| Q4_K_M | 2.6 GB | 126.1 t/s | — | S95, Runs great | ||
Nafie 473MChat | BF16 | 1.0 GB | 120.0 t/s | 1K | S95, Runs great | |
Granite 4.1 3BChatFunctions | Q4_K_M | 3.7 GB | 49.7 t/s | 131K | B62, Decent | |
DeepSeek OCR 2Vision | Q4_K_M | 2.8 GB | 131.5 t/s | 8K | S95, Runs great | |
Granite Vision 4.1 4BVisionFunctions | Q3_K_M | 3.6 GB | 51.6 t/s | 131K | A66, Runs well | |
BaguettotronChat | Q4_K_M | 0.8 GB | 201.3 t/s | 4K | S100, Runs great | |
| Q4_K_M | 1.2 GB | 116.6 t/s | 128K | S94, Runs great | ||
| BF16 | 1.8 GB | 70.1 t/s | 2K | S86, Runs great | ||
| Q4_K_M | 3.1 GB | 105.1 t/s | 4K | S92, Runs great | ||
| Q4_K_M | 1.6 GB | 160.0 t/s | 41K | S97, Runs great | ||
AI21 Jamba Reasoning 3BChatReasoningFunctions | Q4_K_M | 2.3 GB | 55.5 t/s | 262K | A82, Runs well | |
Xiaomi OCR 0VisionFunctions | Q4_K_M | 0.9 GB | 143.4 t/s | 262K | S96, Runs great | |
GPT OSS BF16ChatFunctions | Q4_K_M | 0.3 GB | 416.0 t/s | 131K | S100, Runs great | |
LightOnOCR 2 1BVision | Q4_K_M | 1.8 GB | 122.4 t/s | 16K | S95, Runs great | |
| BF16 | 1.4 GB | 98.3 t/s | 262K | S91, Runs great |
Specs
- Architecture
- Ampere
- VRAM
- 4 GB GDDR6
- Memory bandwidth
- 192.0 GB/s
- FP16 (dense)
- 14.25 TFLOPS
- CUDA cores
- 2,048
- Tensor cores
- 64
- Compute capability
- 8.6
- TDP
- 80 W
- Released
- 2021-05-11
RTX 3050 Laptop GPU FAQ
What is the largest model the RTX 3050 Laptop GPU can run?
Qwen3.5 4B (4.7B) is the largest at 4-bit or better: at Q4_K_M it uses 3.4 GB of 4 GB, and runs at about 38.3 tok/s.
Can the RTX 3050 Laptop GPU run 7–9B models?
No. Qwen3.5 9B needs 6.6 GB at Q4, more than the 4 GB on this card.
How many tokens per second does the RTX 3050 Laptop GPU give?
About 38.3 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 6.0 s on a 4K-token prompt.
What power supply does the RTX 3050 Laptop GPU need?
Plan a 200 W PSU (2× the 80 W TDP).
Is renting cheaper than buying an RTX 3050 Laptop GPU?
An RTX 3080 (10 GB) rents from $0.11/hr. With regular daily use, owning pays off.