NVIDIA · Turing
Best AI Models for NVIDIA GeForce GTX 1660 Ti Laptop GPU (6 GB)
Runs only small models well; 7–9B only just fits.
6 GB GDDR6288 GB/s10 TFLOPS FP1680 WTuring 2019
6 GB at 288 GB/s: ~7B Q4 is tight but works with a short context. No Tensor Cores, so prompt processing is slow-ish. Max-Q version is clocked lower.
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 57.4 t/s | 57.4 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 65.9 t/s | 65.9 tok/s | Q4_K_M · 5.0 GB | |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s | 54.6 tok/s | Q4_K_M · 3.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s | 63.2 tok/s | Q4_K_M · 4.3 GB | |
| 5 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s | 98.5 tok/s | Q4_K_M · 2.5 GB |
| # | Model | Speed | Reasoning Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Q4_K_M · 5.0 GB · 65.9 t/s | 65.9 tok/s | Q4_K_M · 5.0 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 57.4 t/s | 57.4 tok/s | overall | Q4_K_M · 3.4 GB |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s | 54.6 tok/s | Q4_K_M · 3.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s | 63.2 tok/s | Q4_K_M · 4.3 GB | |
| 5 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s | 98.5 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 · 57.4 t/s | 57.4 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s | 54.6 tok/s | Q4_K_M · 3.5 GB | |
| 3 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s | 63.2 tok/s | Q4_K_M · 4.3 GB | |
| 4 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s | 98.5 tok/s | Q4_K_M · 2.5 GB | |
| 5 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 146 t/s | 146 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 · 57.4 t/s | 57.4 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 158 t/s | 158 tok/s | Q4_K_M · 5.5 GB | |
| 3 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 98.5 t/s | 98.5 tok/s | Q4_K_M · 2.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 63.2 t/s | 63.2 tok/s | Q4_K_M · 4.3 GB | |
| 5 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 54.6 t/s | 54.6 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 · 57.4 t/s | 57.4 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 65.9 t/s | 65.9 tok/s | Q4_K_M · 5.0 GB | |
| 3 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 146 t/s | 146 tok/s | Q4_K_M · 1.6 GB | |
| 4 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 110 t/s | 110 tok/s | Q4_K_M · 2.4 GB | |
| 5 | Cosmos Reason2 2BNVIDIA Q4_K_M · 3.5 GB · 116 t/s | 116 tok/s | Q4_K_M · 3.5 GB |
See all 193 models on the GTX 1660 Ti Laptop GPU →Best quant that fits · speeds estimated on this card
The GTX 1660 Ti Laptop GPU runs only small models well. Turing generation, released 2019.
GenerationTuringreleased 2019
GTX 1660 Ti Laptop GPU strengths and weaknesses
Strengths
- Runs 7–9B models: Qwen3.5 9B at 33.9 tok/s in 5.8 GB
- Low power draw: 80 W board power; a 200 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
- Slow prompt reading: A 4K-token prompt on Qwen3.5 4B waits 8.7 s for the first token
- No FP8 or NVFP4: Turing predates both; use GGUF, AWQ or GPTQ builds
Cards people weigh against the GTX 1660 Ti Laptop GPU, each with the one reason it is worth a look.
2 GB more for bigger modelsRTX 4060NVIDIA · 8 GB · Ada Lovelace
▲ 2 GBabout $520rent $0.08/hr27.8 tok/s
2 GB more for bigger modelsRTX 5060 Laptop GPUNVIDIA · 8 GB · Blackwell▲ 2 GB39.2 tok/s
2 GB more for bigger modelsA750Intel · 8 GB · Alchemist▲ 2 GBabout $28940.3 tok/s
2 GB more for bigger modelsRTX 3070 TiNVIDIA · 8 GB · Ampere▲ 2 GBabout $599rent $0.18/hr62.2 tok/s
5 GB more for bigger modelsRTX 2080 TiNVIDIA · 11 GB · Turing▲ 5 GBabout $999rent $0.10/hr63.0 tok/s
6 GB more for bigger modelsRTX 5070 Ti Laptop GPUNVIDIA · 12 GB · Blackwell▲ 6 GB68.7 tok/s
Output speed depends on memory bandwidth (288 GB/s). Grey rows need more than 6 GB.
- 33.9tok/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 GTX 1660 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 |
|---|---|---|---|---|---|---|
Intern Decision 4BVisionFunctions | Q4_K_M | 3.4 GB | 58.7 t/s | 262K | A83, Runs well | |
Intern Decision 2BVisionFunctions | Q4_K_M | 1.8 GB | 108.2 t/s | 262K | S93, Runs great | |
NVIDIA Nemotron 3.5 Bolt E4B BF16ChatFunctions | Q4_K_M | 5.6 GB | 35.2 t/s | 66K | B53, Decent | |
Ornith 1.0 9BChatFunctions | IQ4_XS | 5.9 GB | 33.3 t/s | 262K | C44, Usable | |
Qwen3.5 0.8BVisionFunctions | Q4_K_M | 0.9 GB | 215.2 t/s | 262K | S100, Runs great | |
Molmo2 4BVision | Q4_K_M | 4.7 GB | 55.1 t/s | 37K | A82, Runs well | |
Unlimited OCR 2Vision | Q4_K_M | 3.3 GB | 195.3 t/s | 131K | S100, Runs great | |
SmolLM3 3BChatFunctions | Q4_K_M | 3.4 GB | 81.4 t/s | 66K | S88, Runs great | |
LFM2.5 8B A1BChatFunctions | Q4_K_M | 5.6 GB | 139.9 t/s | 128K | B62, Decent | |
InternVL3 5 1BVision | Q4_K_M | 2.2 GB | 267.4 t/s | — | S100, Runs great | |
| Q4_K_M | 0.9 GB | 271.3 t/s | 8K | S100, Runs great | ||
Qwen3 0.6BChatFunctions | Q4_K_M | 1.7 GB | 215.2 t/s | 41K | S100, Runs great | |
DeepSeek OCRVision | Q4_K_M | 2.8 GB | 196.1 t/s | 8K | S100, Runs great | |
MiniCPM5 1BChatFunctions | Q4_K_M | 1.3 GB | 189.1 t/s | 131K | S99, Runs great | |
LFM2.5 2.6BChatFunctions | Q4_K_M | 2.3 GB | 91.8 t/s | 131K | S90, Runs great |
Specs
- Architecture
- Turing
- VRAM
- 6 GB GDDR6
- Memory bandwidth
- 288.0 GB/s
- FP16 (dense)
- 9.77 TFLOPS
- CUDA cores
- 1,536
- Tensor cores
- 0
- Compute capability
- 7.5
- TDP
- 80 W
- Released
- 2019-04-23
GTX 1660 Ti Laptop GPU FAQ
What is the largest model the GTX 1660 Ti 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 37.5 tok/s. At 3-bit, a bigger model fits too: Gemma 2 9B IT (9.2B) at IQ3_M, 5.7 GB.
Can the GTX 1660 Ti 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 GTX 1660 Ti 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 GTX 1660 Ti Laptop GPU give?
About 57.4 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 8.7 s on a 4K-token prompt.
What power supply does the GTX 1660 Ti Laptop GPU need?
Plan a 200 W PSU (2× the 80 W TDP).
Is renting cheaper than buying a GTX 1660 Ti Laptop GPU?
An RTX 3080 Ti (12 GB) rents from $0.13/hr. With regular daily use, owning pays off.