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The real cost to run Laguna S 2.1

poolside · 117.6B parameters · 1M context · license restricted

Local (your GPU)
$0 · ~81 GB VRAM
Rent a GPU
from $0.48/hr
Your API key
$0.15/1M

Best next step

Use the cheapest path that fits what you already own

Already have 81 GB of VRAM? Run Q4_K_M locally for $0 compute. Check the exact hardware fit →

No matching GPU? For a 4,000-token prompt + 2,000-token answer, an API is about $0.0008 — no GPU setup. Open the API option →

Decision basis: 4,000 input + 2,000 output tokens, prices checked 2026-07-27. API estimates never beat a real price here; referral status never changes the winner.

What it costs to run Laguna S 2.1 — $0 markup

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Laguna S 2.1 — 117.6B params (poolside).

When does owning hardware beat the API?

At $0.15/1M tokens, the cheapest API for Laguna S 2.1 stays cheaper than Apple MacBook Pro 16" M3 Max 128GB (used) at any daily volume — electricity alone costs more per token than the API does.

Local is never $0 — every figure here includes electricity and hardware amortization. Speeds come from published 7-8B Q4 benchmarks (your model, quant, and context will differ); break-even volumes are rounded to 2 significant figures.

Laguna S 2.1 VRAM & system requirements

Laguna S 2.1 — key facts (as of 2026-07-27)
Parameters117.6B
Context window1M tokens
Recommended quantQ4_K_M
VRAM requirement~81 GB (at Q4_K_M, 16.4K context)
Download size~71 GB
LicenseLicense restricted

Open the free Spanvero advisor → for the live, interactive math for your exact workload and hardware.

Quick answers about Laguna S 2.1

How much does it cost to run Laguna S 2.1?

Three ways: $0 on your own machine if you have about 81 GB of VRAM (at Q4_K_M); a rented GPU from $0.48/hr (8× NVIDIA RTX 3060 12GB at the direct Vast.ai price); or about $0.15 per 1M blended tokens via your own API key (real price as of 2026-07-27). Spanvero adds $0 markup on every path.

Can I run Laguna S 2.1 locally?

Yes — Laguna S 2.1 runs locally for $0 in compute if your GPU or Apple Silicon Mac has about 81 GB of VRAM/unified memory (at Q4_K_M with 16.4K context). Point LM Studio, Ollama, or llama.cpp at it; after the download it runs offline and free.

What GPU do I need to run Laguna S 2.1?

Any GPU or Apple Silicon Mac with about 81 GB of VRAM/unified memory handles Laguna S 2.1 at Q4_K_M. Of the consumer hardware Spanvero tracks, the smallest that fits is Apple MacBook Pro 16" M3 Max 128GB (used).

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Spanvero · What's new · Prices as of 2026-07-27. We're an honest advisor — $0 markup, your own accounts, we never resell compute. Catalog specs auto-indexed from the Hugging Face Hub — parameter count is exact; download size and quantizations are estimates. © 2026 Cynosure LLC.

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