NVIDIA · Turing
Best AI Models for NVIDIA GeForce GTX 1650 Ti Laptop GPU (4 GB)
Runs only small models well; 7–9B doesn't fit in 4 GB.
4 GB at 192 GB/s: ~3B Q4 only. Same 1024-core chip as the laptop GTX 1650 but with GDDR6. No Tensor Cores.
| # | 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 GTX 1650 Ti Laptop GPU runs only small models well. Turing generation, released 2020.
GTX 1650 Ti Laptop GPU strengths and weaknesses
Strengths
- Low power draw: 55 W board power; a 150 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 13.9 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 Ti 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 GTX 1650 Ti 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 |
|---|---|---|---|---|---|---|
Ministral 3 3B Reasoning 2512ReasoningFunctions | Q4_K_M | 3.9 GB | 45.1 t/s | 262K | C44, Usable | |
Qwen2.5 0.5B InstructChatFunctions | Q4_K_M | 0.8 GB | 201.3 t/s | 33K | S100, Runs great | |
Qwen3.5 2B BaseVision | Q4_K_M | 1.9 GB | 70.5 t/s | 262K | S86, Runs great | |
LFM2.5 1.2B InstructChatFunctions | Q4_K_M | 1.2 GB | 116.6 t/s | 128K | S94, Runs great | |
Mamba 130M HFChat | Q4_K_M | 0.9 GB | 1386.7 t/s | — | S100, Runs great | |
| Q4_K_M | 0.3 GB | 416.0 t/s | 1K | S100, Runs great | ||
Bloomz 560MChat | Q4_K_M | 0.4 GB | 337.3 t/s | 2K | S100, Runs great | |
Mamba 1.4B HFChat | Q4_K_M | 2.5 GB | 137.1 t/s | — | S96, Runs great | |
| Q4_K_M | 0.1 GB | 960.0 t/s | 2K | S100, Runs great | ||
Qwen3 4B HereticChat | Q3_K_M | 3.8 GB | 50.9 t/s | 41K | B59, Decent | |
| Q4_K_M | 0.1 GB | 2080.0 t/s | 2K | S100, Runs great | ||
| BF16 | 3 GB | 41.6 t/s | 2K | A76, Runs well | ||
GPT Neo 125MChat | BF16 | 0.3 GB | 378.2 t/s | 2K | S100, Runs great | |
Qwen3 4B Gemini 3.1 Pro Reasoning DistilledChatReasoning | Q3_K_M | 3.8 GB | 51.1 t/s | 262K | B59, Decent | |
LFM2 VL 1.6BVision | Q4_K_M | 1.5 GB | 94.5 t/s | 128K | S90, Runs great |
Specs
- Architecture
- Turing
- VRAM
- 4 GB GDDR6
- Memory bandwidth
- 192.0 GB/s
- FP16 (dense)
- 6.08 TFLOPS
- CUDA cores
- 1,024
- Tensor cores
- 0
- Compute capability
- 7.5
- TDP
- 55 W
- Released
- 2020-04-02
GTX 1650 Ti Laptop GPU FAQ
What is the largest model the GTX 1650 Ti 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 GTX 1650 Ti 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 Ti Laptop GPU give?
About 38.3 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 14.0 s on a 4K-token prompt.
What power supply does the GTX 1650 Ti Laptop GPU need?
Plan a 150 W PSU (2× the 55 W TDP).
Is renting cheaper than buying a GTX 1650 Ti Laptop GPU?
An RTX 3080 (10 GB) rents from $0.11/hr. With regular daily use, owning pays off.