NVIDIA · Ada Lovelace
Best AI Models for NVIDIA GeForce RTX 4050 Laptop GPU (6 GB)
Runs only small models well; 7–9B only just fits.
6 GB on a 96-bit bus (192 GB/s): fits ~7B Q4 with small context and decodes slowly for its generation. Speed varies with the chassis power limit.
| # | 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 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 43.9 t/s | 43.9 tok/s | Q4_K_M · 5.0 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 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 42.2 t/s | 42.2 tok/s | Q4_K_M · 4.3 GB | |
| 5 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 65.7 t/s | 65.7 tok/s | Q4_K_M · 2.5 GB |
| # | Model | Speed | Reasoning Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Q4_K_M · 5.0 GB · 43.9 t/s | 43.9 tok/s | Q4_K_M · 5.0 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 38.3 t/s | 38.3 tok/s | overall | Q4_K_M · 3.4 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 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 42.2 t/s | 42.2 tok/s | Q4_K_M · 4.3 GB | |
| 5 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 65.7 t/s | 65.7 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 · 38.3 t/s | 38.3 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 36.4 t/s | 36.4 tok/s | Q4_K_M · 3.5 GB | |
| 3 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 42.2 t/s | 42.2 tok/s | Q4_K_M · 4.3 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 | 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 |
| # | 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 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 114 t/s | 114 tok/s | Q4_K_M · 5.5 GB | |
| 3 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 65.7 t/s | 65.7 tok/s | Q4_K_M · 2.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 42.2 t/s | 42.2 tok/s | Q4_K_M · 4.3 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 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 43.9 t/s | 43.9 tok/s | Q4_K_M · 5.0 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 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 73.4 t/s | 73.4 tok/s | Q4_K_M · 2.4 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 4050 Laptop GPU runs only small models well. Ada Lovelace generation, released 2023.
RTX 4050 Laptop GPU strengths and weaknesses
Strengths
- Runs 7–9B models: Qwen3.5 9B at 22.6 tok/s in 5.8 GB
- Low power draw: 115 W board power; a 250 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
Cards people weigh against the RTX 4050 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 6 GB.
- 22.6tok/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 4050 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 | 1.0 GB | 123.6 t/s | 2K | S95, Runs great | ||
Tmax 9BChatFunctions | Q4_K_S | 5.9 GB | 22.3 t/s | 262K | C34, Usable | |
Qwen3 VL 2B InstructVisionFunctions | Q4_K_M | 3.5 GB | 69.0 t/s | 262K | S86, Runs great | |
Gemma 4 E2BChat | Q4_K_M | 3.5 GB | 36.4 t/s | 131K | A73, Runs well | |
Qianfan OCRVision | Q4_K_M | 4.7 GB | 37.5 t/s | 33K | A74, Runs well | |
Mellum2.1 12B A2.5B ThinkingChatFunctions | IQ3_M | 5.9 GB | 91.6 t/s | 131K | C44, Usable | |
Medgemma 1.5 4B ITVision | Q4_K_M | 5 GB | 43.9 t/s | — | A73, Runs well | |
Llama 3.2 1B InstructChatFunctions | Q4_K_M | 2.3 GB | 152.2 t/s | 131K | S97, Runs great | |
Typhoon Ocr1.5 2BVisionFunctions | Q4_K_M | 3.5 GB | 69.0 t/s | 262K | S86, Runs great | |
Granite Docling 258MVisionChatCodeMath | Q4_K_M | 0.6 GB | 249.6 t/s | 8K | S100, Runs great | |
Llava 1.5 7B HFVision | Q4_K_M | 5.0 GB | 26.8 t/s | 4K | B62, Decent | |
Dots.ocrVision | Q4_K_M | 2.6 GB | 57.2 t/s | 131K | A82, Runs well | |
UI TARS 1.5 7BVisionFunctions | Q4_K_S | 5.9 GB | 24.6 t/s | 128K | C37, Usable | |
Gemma 4 12B ITChatFunctions | IQ2_M | 5.9 GB | 24.5 t/s | 262K | C37, Usable | |
Gemma 4 E4BChat | Q4_K_M | 5.6 GB | 23.5 t/s | 131K | C44, Usable |
Specs
- Architecture
- Ada Lovelace
- VRAM
- 6 GB GDDR6
- Memory bandwidth
- 192.0 GB/s
- FP16 (dense)
- 24.27 TFLOPS
- CUDA cores
- 2,560
- Tensor cores
- 80
- Compute capability
- 8.9
- TDP
- 115 W
- Released
- 2023-02-22
RTX 4050 Laptop GPU FAQ
What is the largest model the RTX 4050 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 25.0 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 4050 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 4050 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 4050 Laptop GPU give?
About 38.3 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 3.5 s on a 4K-token prompt.
What power supply does the RTX 4050 Laptop GPU need?
Plan a 250 W PSU (2× the 115 W TDP).
Is renting cheaper than buying an RTX 4050 Laptop GPU?
An RTX 3080 Ti (12 GB) rents from $0.13/hr. With regular daily use, owning pays off.