UNIT · NVIDIA · GPU
6 GB VRAMmidReviewed November 2026

NVIDIA GeForce GTX 1660 Ti

No editorial image yet — generic vendor mark shown. Credentials in spec table below.

Turing mid-tier without RT/Tensor cores. 6 GB VRAM fits 7B Q4 with short context. Bandwidth (288 GB/s) is solid for the tier. Same VRAM ceiling as the 1660 Super; the Ti pays for slightly more compute that doesn't help much for inference.

Released 2019·Launch MSRP $279 (2019) · Now sells well below its launch price on the used market.·288 GB/s memory bandwidth
RUNLOCALAI SCORE
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247/ 1000
DD-tier
Estimated
Throughput
100/ 500
VRAM-fit
30/ 200
Ecosystem
200/ 200
Efficiency
23/ 100

Sub-scores sum to 353 / 1000. Headline = 353 × 0.70 (Estimated-confidence discount) = 247. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →

Extrapolated from 288 GB/s bandwidth — 34.6 tok/s estimated. No measured benchmarks yet.

Plain-English: Edge-of-fit for 7B; expect compromises.

7B chat~
Tight
14B chat✗
Doesn't fit
32B chat✗
Doesn't fit
70B chat✗
Doesn't fit
Coding agent✗
Doesn't fit
Vision (≤8B VLM)~
Tight
Long context (32K)✗
Doesn't fit
✓Comfortable — fits with headroom
~Tight — works, no slack
△Marginal — needs aggressive quant
✗Doesn't fit usefully

Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.

BLK · OVERVIEW

Overview

Turing mid-tier without RT/Tensor cores. 6 GB VRAM fits 7B Q4 with short context. Bandwidth (288 GB/s) is solid for the tier. Same VRAM ceiling as the 1660 Super; the Ti pays for slightly more compute that doesn't help much for inference.

Retailers we'd check:Amazon

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BLK · SPECS

Specs

VRAM6 GB
Power draw (peak)120 W
Released2019
MSRP$279
Backends
CUDA
Vulkan

Models that fit

Open-weight models small enough to run on NVIDIA GeForce GTX 1660 Ti with usable context.

Frequently asked

What models can NVIDIA GeForce GTX 1660 Ti run?

With 6GB VRAM, the NVIDIA GeForce GTX 1660 Ti runs 7B models comfortably in Q4 quantization. See the model list below for tested combinations.

Does NVIDIA GeForce GTX 1660 Ti support CUDA?

Yes — NVIDIA GeForce GTX 1660 Ti is an NVIDIA card with full CUDA support, the most mature local-AI backend. llama.cpp, Ollama, vLLM, and ExLlamaV2 all run natively.

How much does NVIDIA GeForce GTX 1660 Ti cost?

The NVIDIA GeForce GTX 1660 Ti launched at an MSRP of $279 in 2019. Now sells well below its launch price on the used market. Retail prices change often, so check the current price with a retailer before you buy.

Where next?

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.