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NVIDIA GTX 1660 Ti

6 GB VRAM120 W TDP3 providers5 offerings4 regions

The NVIDIA GTX 1660 Ti is a consumer-grade GPU built on the Turing architecture, featuring 6 GB of memory with 288 GB/s of memory bandwidth and a 120 W TDP. It delivers 5.4 TFLOPS of FP32 performance. Currently available from 3 providers starting at $0.06/GPU/hour, with a market median of $0.10/GPU/hour across 5 configurations.

Cheapest
$0.060/hr
Vast.ai
Median
$0.100/hr
across 5 offerings
Most expensive
$0.610/hr
Vast.ai
90-day trend
-82.3%
median rate

Hardware specifications

Same across all providers

TDP
120 W
Memory bandwidth
288 GB/s
Architecture
Turing
FP32 performance
5.4 TFLOPS
Brand
NVIDIA
Series
GeForce GTX
Market price history

Median price across all providers

Prices updated

3 offerings from 3 providers

Sorted by price ascending. Compare configurations side-by-side.

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
Vast.aiReferral linkTrendingCheapest
×22431 GB
CanadaVietnam
From$0.060
+458.3% 30d
From$0.12
Launch
×22431 GB--
$0.095
+18.8% 30d
$0.19
Launch
×1816 GB
United StatesFinland
From$0.100
+10.0% 30d
From$0.10
Launch

LLMs that fit on the NVIDIA GTX 1660 Ti

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 6 GB per GPU.

ModelParameters16-bit8-bit4-bit
Gemma 3 12B
Google
12.2B
29 GB
Too large
16 GB
Too large
9.4 GB
2× · 2.6 GB free
Granite 4.1 8B
IBM
8.8B
21 GB
Too large
12 GB
Barely fits on 2×
6.8 GB
2× · 5.2 GB free
or 1× · 6% spare
Qwen3 8B
Alibaba
8.2B
20 GB
Too large
11 GB
2× · 1.2 GB free
6.3 GB
2× · 5.7 GB free
or 1× · 14% spare
Llama 3.1 8B Instruct
Meta
8B
19 GB
Too large
11 GB
2× · 1.4 GB free
6.2 GB
2× · 5.8 GB free
or 1× · 16% spare
Mistral 7B Instruct v0.3
Mistral AI
7.2B
17 GB
Too large
9.6 GB
2× · 2.4 GB free
5.6 GB
Barely fits on 1×
Qwen3 4B
Alibaba
4B
9.7 GB
2× · 2.3 GB free
5.3 GB
Barely fits on 1×
3.1 GB
1× · 2.9 GB free

Estimates: model weights plus 20% for KV cache and runtime overhead, at short context lengths. Long contexts and large batches need more. Rows marked “tight” hold the weights but not that full margin. A ×N figure is the total VRAM across N of these GPUs and makes no claim about interconnect throughput. How we estimate this · Start from a model instead

Frequently asked questions

How much does the GTX 1660 Ti cost per hour?
The GTX 1660 Ti starts at $0.06 per GPU-hour, with a median of $0.10 across 5 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the GTX 1660 Ti?
3 providers currently list the GTX 1660 Ti: Vast.ai, Theta EdgeCloud, Omega Gradient. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the GTX 1660 Ti have?
The GTX 1660 Ti comes with 6 GB of VRAM, which determines the largest models and batch sizes it can hold in memory for training and inference.
Which LLMs can I run on the GTX 1660 Ti?
With 6 GB of VRAM, a single GTX 1660 Ti can serve models such as Mistral 7B Instruct v0.3, Qwen3 4B. The table above lists the estimated VRAM for each model at 16-bit, 8-bit and 4-bit precision, including the multi-GPU configurations needed for larger models.
What's the biggest LLM I can run on multiple GTX 1660 Ti GPUs?
The largest models we track that fit across several GTX 1660 Ti cards are Gemma 3 12B on 2 GPUs at 4-bit, Granite 4.1 8B on 2 GPUs at 8-bit, Qwen3 8B on 2 GPUs at 8-bit. A multi-GPU configuration means you rent and pay for every card for the whole run, and splitting a model across cards costs throughput as well: the GPUs exchange activations on every token, so performance depends on how fast they are wired together. We do not track interconnect, so check the provider's node specification. The table above gives the smallest configuration for each model at 16-bit, 8-bit and 4-bit precision.
Where is the GTX 1660 Ti cheapest?
The lowest on-demand price we currently track for the GTX 1660 Ti is $0.06 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.