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UNIT · NVIDIA · GPU
8 GB VRAMentry·Reviewed June 2026

NVIDIA GeForce RTX 4060

NVDA · HARDWARE
NVIDIA GeForce RTX 4060

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

Entry-level Ada. 8GB limits to 7B Q4.

Released 2023·~$279 street·272 GB/s memory bandwidth
▼ CHECK CURRENT PRICE· 1 retailer
NVIDIA GeForce RTX 4060
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Affiliate disclosure: as an Amazon Associate and partner of other retailers, we earn from qualifying purchases. The verdict on this page is our editorial opinion; affiliate links never influence what we recommend.

RUNLOCALAI SCORE
See full leaderboard →
279/ 1000
DD-tier
Estimated
Throughput
95/ 500
VRAM-fit
80/ 200
Ecosystem
200/ 200
Efficiency
23/ 100

Sub-scores sum to 398 / 1000. Headline = 398 × 0.70 (Estimated-confidence discount) = 279. 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 272 GB/s bandwidth — 32.6 tok/s estimated. No measured benchmarks yet.

WORKLOAD FIT
Try other hardware →

Plain-English: Comfortable for 7B chat.

7B chat✓
Comfortable
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 · VERDICT

Our verdict

OP · Fredoline Eruo|VERIFIED JUN 12, 2026
5.3/10

What it does well

The RTX 4060 is the cheapest Ada-generation consumer card at $299 MSRP / $200-250 used. 8 GB GDDR6 at 272 GB/s + Ada Tensor Cores + FP8 native at the lowest power envelope of any Ada card (115 W TDP). For sub-7B AI workloads + gaming + creator use combined, the 4060 is genuinely the entry-tier pick — fits in any 500 W PSU, runs cool, and CUDA + Ada-gen + FP8 stack works cleanly. Ollama, LM Studio, llama.cpp, single-card vLLM all run.

Where it breaks

  • 8 GB ceiling kills serious AI. Same constraint as all 8 GB cards.
  • Bandwidth is bottom-tier. 272 GB/s is the lowest of any Ada-gen card and barely above the 8 GB 5060's 448 GB/s. For memory-bound decode, 4060 is meaningfully slower than the 5060.
  • Pricing competition is brutal from used market. Used RTX 3060 12GB at $200 has 50% more VRAM at lower price. Used RTX 3070 at $200-300 has same VRAM + more bandwidth + more compute.
  • Architecture is one generation behind Blackwell. RTX 5060 at $299 MSRP has FP4 native + slightly more bandwidth at the same price.
  • No 16 GB variant in the 4060 SKU class. 4060 is firmly 8 GB.

Ideal model range

  • Sweet spot: 7B FP16 / Q5 inference at modest decode speed.
  • Sweet spot: Embedding models, classifiers, small re-rankers.
  • Sweet spot: First-time AI buyers on tight budget — gaming + AI dual purpose.
  • Stretch: 13B Q4 with 4K context.
  • Bad fit: 13B+ FP16, 14B+ anything, fine-tuning, longer-context use cases.

Bad use cases

  • Anyone targeting 13B+ FP16. Hard 8 GB ceiling.
  • Cost-conscious 12 GB seekers. Used RTX 3060 12GB at $200 wins decisively.
  • Anyone with $130 more in budget. RTX 4060 Ti 16GB at $429 wins for AI.
  • Anyone wanting Blackwell-gen. Pick RTX 5060 at the same MSRP.

Verdict

Buy this if you find a used RTX 4060 at $200-$250, you want gaming + occasional small AI use, and you accept the 8 GB ceiling. RTX 4060 is the cost-floor Ada-gen pick — but Blackwell-gen 5060 at the same MSRP is the architecturally-current alternative.

Skip this if RTX 5060 at $299 MSRP is available (same price, Blackwell + FP4 native), used RTX 3060 12GB at $200 fits (50% more VRAM at lower price), or AI is a real use case (RTX 4060 Ti 16GB at +$130 wins decisively).

How it compares

  • vs RTX 5060 → Same VRAM, Ada vs Blackwell. 5060 has FP4 native + slightly more bandwidth at the same MSRP. Pick 5060 for current-gen.
  • vs RTX 4060 Ti 8GB → 4060 Ti 8GB has ~25% more compute at +$100 MSRP. Same 8 GB tier.
  • vs used RTX 3060 12GB → 50% more VRAM at lower used price. For AI, 3060 12GB wins.
  • vs used RTX 3070 (8 GB) → Same VRAM, Ampere vs Ada. 3070 has more bandwidth and compute at similar used pricing. Pick 3070 used for value Ampere; 4060 for new card with FP8 + warranty.
  • vs Intel Arc B580 (12 GB) → B580 has 50% more VRAM at -$50 MSRP. Pick B580 for VRAM at price; 4060 for CUDA ecosystem.
BLK · OVERVIEW

Overview

Entry-level Ada. 8GB limits to 7B Q4.

Retailers we'd check:Amazon

Some links above are affiliate links. We may earn a commission at no extra cost to you. How we make money.

BLK · SPECS

Specs

VRAM8 GB
Power draw (peak)115 W
Released2023
MSRP$299
Backends
CUDA
Vulkan

Models that fit

Open-weight models small enough to run on NVIDIA GeForce RTX 4060 with usable context.

all-MiniLM-L6-v2
0.022B · other
Qwen 3 0.6B
0.6B · qwen
BGE Large EN v1.5
0.335B · other
Nomic Embed Text v1.5
0.137B · other
Kokoro 82M
0.082B · other
XTTS v2
0.46B · other
BGE Reranker v2 M3
0.57B · other
all-mpnet-base-v2
0.109B · other

Frequently asked

What models can NVIDIA GeForce RTX 4060 run?

With 8GB VRAM, the NVIDIA GeForce RTX 4060 runs 7B models comfortably in Q4 quantization. See the model list below for tested combinations.

Does NVIDIA GeForce RTX 4060 support CUDA?

Yes — NVIDIA GeForce RTX 4060 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 RTX 4060 cost?

Current street price for NVIDIA GeForce RTX 4060 is around $279 (MSRP $299). Prices vary by region and supply.

Where next?

Compare NVIDIA GeForce RTX 4060
  • Intel Arc B580 vs RTX 4060 →
  • Compare NVIDIA GeForce RTX 4060 vs anything →
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Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.

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Some links on this site are affiliate links (Amazon Associates and other first-class retailers). When you buy through them, we earn a small commission at no extra cost to you. Affiliate links do not influence our verdicts — there are cards we rate highly that we don't have affiliate relationships with, and cards that sell well that we refuse to recommend. Read more →

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RUNLOCALAI · v38
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Step down
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Editorial deep-dive comparisons

Curated head-to-heads against specific cards — the buyer-decision shape that crosses VRAM bands.

  • vs Intel Arc B580 (12 GB) →