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Local LLM under $1,000

Global prices (USD), EUR available. Under $1,000 you buy an honest 8B or 14B machine. A 70B that fully fits sits just above that in this dataset, or just under it and slow.

Under €1000 this list lands on a used 16 GB M4 Mac mini, a 16 GB M6 Mac mini, or a modest PC around an RTX 3060 12GB. That runs 8B well enough to work with, and 14B Q4 just barely on the 3060.

32B Q4 wants a bit over 20 GB. That fits on a 3090, not on 12 or 16 GB, and that 3090 PC sits above €1000 in our estimate. 70B does not belong here if you want the model fully in memory.

The page below lets the engine pick a model itself: the largest one that fully fits inside the budget, at Q4 and 8,192 tokens.

Open in the calculator

Three setups

Phi-4 14B · Q4 · 8,192 ctx

Estimated memory

10.7 GBestimate

8.2 GB weights · 1.7 GB KV cache · 0.8 GB overhead

You didn't pick a model. Inside this budget, this is the largest model that fully fits somewhere.

  1. 01 · Fastest

    Budget PC with RTX 3060 12GB

    Entry point for 8B and, just barely, 14B Q4. The card is mostly second-hand.

    $996€890

    14 Oct 2026

    price unverified

    inside budget · used

    tok/s

    19.0

    estimate

    needed

    10.7 GB

    full fit

    usable

    10.8 GB

    VRAM

    Why this one

    • The model fits entirely in VRAM or unified memory. No CPU offload.
    • It fits, with little room left. A longer context can push it over.
    • The indicative price is inside your budget.
    • Second-hand or a previous generation. The price moves around.
    • Highest estimated speed in this shortlist.

    Parts

    • GeForce RTX 3060 12GB
    • Ryzen 5 5600 or similar
    • 32 GB DDR4
    • 1 TB SSD, PSU around 550W
  2. 02 · A step up

    PC with RTX 5090 32GB

    Highest bandwidth in a single card. 32 GB is plenty for 32B, still too tight for 70B Q4.

    $8,926€7,973

    15 Oct 2026

    price unverified

    Not a checked system price. The GPU line is the €6,273 PriceSquirrel figure from 15 Oct 2026. The rest of the box was not rechecked.

    over budget

    tok/s

    80

    estimate

    needed

    10.7 GB

    full fit

    usable

    30.8 GB

    VRAM

    Why this one

    • The model fits entirely in VRAM or unified memory. No CPU offload.
    • Memory left for a longer context or a heavier quantisation.
    • Above your budget. Nothing fully fit inside the amount, or this is a faster step above it.
    • High memory bandwidth, so a higher tokens-per-second estimate.

    Parts

    • GeForce RTX 5090 32GB
    • Ryzen 7 9700X or similar
    • 96 GB DDR5
    • 1200W PSU, roomy case
  3. 03 · A step up

    Dual RTX 4090, 48 GB

    Same memory as two 3090s, higher bandwidth, a lot more money.

    $6,146€5,490

    14 Oct 2026

    price unverified

    over budget

    tok/s

    73

    estimate

    needed

    10.7 GB

    full fit

    usable

    45.6 GB

    VRAM

    Why this one

    • The model fits entirely in VRAM or unified memory. No CPU offload.
    • Memory left for a longer context or a heavier quantisation.
    • Above your budget. Nothing fully fit inside the amount, or this is a faster step above it.
    • Two GPUs. Expect a heavier PSU and a llama.cpp split. Bandwidth does not fully double.
    • High memory bandwidth, so a higher tokens-per-second estimate.

    Parts

    • 2× GeForce RTX 4090 24GB
    • Ryzen 9 7950X or similar
    • 128 GB DDR5
    • 1600W PSU

Tokens per second are estimated from memory bandwidth, not from a measured benchmark. EUR prices include VAT. USD is an FX estimate. A price without a checked listing is marked price unverified. Run llama-bench yourself before you buy.

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Local LLM under €1000 · localLLMrig