localLLMriglocal, on your table

budget

Local LLM under $800

Under $800 (€715 incl. VAT) localLLMrig picks Gemma 2 9B at Q4 as the largest model that fully fits somewhere. Global prices (USD), EUR available. Prices and tokens/s are estimates without a source.

This page is $800. The catalog compares against about €715 incl. VAT, an FX estimate.

Open in the calculator

Three setups

Gemma 2 9B · Q4 · 8,192 ctx

Estimated memory

8.1 GBestimate

5.2 GB weights · 2.1 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

    Mac mini M4 16GB

    Quiet and cheap for 8B Q4. Not for 32B or 70B.

    $615€549

    inside budget · used

    estimate

    tok/s

    7.7

    estimate

    needed

    8.1 GB

    full fit

    usable

    10.0 GB

    unified

    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.
    • Unified memory: weights and KV cache share one pool.
    • Second-hand or a previous generation. The price moves around.
    • One box, little noise, no discrete GPU.
    • Highest estimated speed in this shortlist.

    Parts

    • Mac mini M4, 16 GB unified memory (previous generation)
    • 120 GB/s bandwidth is an estimate; no page was re-fetched

  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.

    $5,027€4,490

    over budget

    estimate

    tok/s

    101

    estimate

    needed

    8.1 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

    over budget

    estimate

    tok/s

    93

    estimate

    needed

    8.1 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. Global prices (USD), EUR available. EUR includes VAT. USD is an FX estimate. No shop source. Run llama-bench yourself before you buy.

Want a build tailored to you? Custom report

Get new builds when GPU prices move

End of results

Common questions

What is the largest model that fully fits under $800?
In this dataset that is Gemma 2 9B at Q4, with an estimated memory need of 8.1 GB at 8,192 tokens. That is an estimate. sourceUrl stays null.
Is a 70B model always included?
No. Llama 70B Q4 needs about 40 GB. At the lower amounts it does not fully fit. The page then shows a smaller model that does, or a fit above the budget when nothing inside it does.
Are the prices shop prices?
No. Every amount is indicative as of 14 October 2026 and has no shop source.
Local LLM under $800 · localLLMrig