NVIDIA · Turing
Best AI Models for NVIDIA GeForce GTX 1650 Laptop GPU (4 GB)
Runs only small models well; 7–9B doesn't fit in 4 GB.
4 GB at 128 GB/s (some models have GDDR6 at 192 GB/s): ~3B Q4 only, slow decode. Laptop version has 1024 cores, more than the desktop GTX 1650. No Tensor Cores.
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 25.5 t/s | 25.5 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Qwen3.5 2BAlibaba Q4_K_M · 1.9 GB · 47.0 t/s | 47.0 tok/s | Q4_K_M · 1.9 GB | |
| 3 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 43.8 t/s | 43.8 tok/s | Q4_K_M · 2.5 GB | |
| 4 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 24.3 t/s | 24.3 tok/s | Q4_K_M · 3.5 GB | |
| 5 | LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 57.8 t/s | 57.8 tok/s | Q4_K_M · 2.1 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 25.5 t/s | 25.5 tok/s | Q4_K_M · 3.4 GB | |
| 2 | LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 57.8 t/s | 57.8 tok/s | Q4_K_M · 2.1 GB | |
| 3 | Qwen3.5 2BAlibaba Q4_K_M · 1.9 GB · 47.0 t/s | 47.0 tok/s | Q4_K_M · 1.9 GB | |
| 4 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 43.8 t/s | 43.8 tok/s | Q4_K_M · 2.5 GB | |
| 5 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 24.3 t/s | 24.3 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 · 25.5 t/s | 25.5 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Qwen3.5 2BAlibaba Q4_K_M · 1.9 GB · 47.0 t/s | 47.0 tok/s | Q4_K_M · 1.9 GB | |
| 3 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 48.9 t/s | 48.9 tok/s | Q4_K_M · 2.4 GB | |
| 4 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 65.0 t/s | 65.0 tok/s | Q4_K_M · 1.6 GB | |
| 5 | Cosmos Reason2 2BNVIDIA Q4_K_M · 3.5 GB · 51.7 t/s | 51.7 tok/s | Q4_K_M · 3.5 GB |
The GTX 1650 Laptop GPU runs only small models well. Turing generation, released 2019.
GTX 1650 Laptop GPU strengths and weaknesses
Strengths
- Low power draw: 50 W board power; a 100 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 13.3 s for the first token
- No FP8 or NVFP4: Turing predates both; use GGUF, AWQ or GPTQ builds
Cards people weigh against the GTX 1650 Laptop GPU, each with the one reason it is worth a look.
Output speed depends on memory bandwidth (128 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 GTX 1650 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 |
|---|---|---|---|---|---|---|
Llama 3.2 1BChat | Q4_K_M | 2.3 GB | 101.5 t/s | — | S92, Runs great | |
Opt 1.3BChat | FP16 | 2.9 GB | 29.1 t/s | 2K | A70, Runs well | |
Qwen2 VL 2B InstructVision | Q4_K_M | 2.1 GB | 49.5 t/s | 33K | A79, Runs well | |
Qwen3 VL 4B InstructVisionFunctions | Q3_K_M | 4.0 GB | 31.4 t/s | 262K | C42, Usable | |
OLMo 2 0425 1BChat | Q4_K_M | 1.7 GB | 57.0 t/s | 4K | A82, Runs well | |
| Q4_K_M | 3.7 GB | 27.5 t/s | 8K | B51, Decent | ||
Qwen2.5 Math 1.5B InstructChatMathFunctions | Q4_K_M | 1.3 GB | 65.0 t/s | 4K | A84, Runs well | |
| Q4_K_M | 0.4 GB | 224.9 t/s | 1K | S100, Runs great | ||
AFM 4.5BChat | Q3_K_M | 3.8 GB | 30.8 t/s | 66K | B50, Decent | |
Starcoder2 3BChatCode | Q4_K_M | 2.6 GB | 38.2 t/s | 16K | A74, Runs well | |
Tiny Qwen2ForCausalLM 2.5ChatFunctions | Q4_K_M | 0.6 GB | 277.3 t/s | 33K | S100, Runs great | |
Hermes 3 Llama 3.2 3BChatRoleplay | Q4_K_M | 4.0 GB | 35.7 t/s | 131K | C44, Usable | |
SmolLM3 3B BaseChat | Q4_K_M | 3.4 GB | 36.2 t/s | 66K | A68, Runs well | |
| Q4_K_M | 1.0 GB | 82.4 t/s | 2K | S88, Runs great | ||
Polyglot Ko 1.3BChat | Q4_K_M | 0.9 GB | 87.6 t/s | 2K | S89, Runs great |
Specs
- Architecture
- Turing
- VRAM
- 4 GB GDDR5
- Memory bandwidth
- 128.0 GB/s
- FP16 (dense)
- 6.39 TFLOPS
- CUDA cores
- 1,024
- Tensor cores
- 0
- Compute capability
- 7.5
- TDP
- 50 W
- Released
- 2019-04-23
GTX 1650 Laptop GPU FAQ
What is the largest model the GTX 1650 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 25.5 tok/s.
Can the GTX 1650 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 GTX 1650 Laptop GPU give?
About 25.5 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 13.3 s on a 4K-token prompt.
What power supply does the GTX 1650 Laptop GPU need?
Plan a 100 W PSU (2× the 50 W TDP).
Is renting cheaper than buying a GTX 1650 Laptop GPU?
An RTX 3080 Ti (12 GB) rents from $0.13/hr. With regular daily use, owning pays off.