The real cost to run EXAONE 3.5 2.4B Instruct

LGAI-EXAONE · 2.4B parameters · 32.8K context · license restricted

EXAONE 3.5 2.4B Instruct — 2.4B params (LGAI-EXAONE). Auto-indexed from the Hugging Face Hub (77,782 downloads). Parameter count is exact; download size and quantizations are estimates.

What it costs to run EXAONE 3.5 2.4B Instruct — $0 markup

On your own machine — $0. Runs free locally if you have about 4 GB of VRAM at Q4_K_M (point Spanvero at LM Studio, Ollama, or llama.cpp).
On your own rented GPU — from $0.26/hr. NVIDIA RTX 3090 24GB at the direct Vast.ai price (≈ $0.02 a session), $0 markup.
Via your own API key — $0.12/1M tokens (blended input + output). No GPU to manage (rough estimate for this size).

Key facts

Parameters	2.4B
Context window	32.8K tokens
Recommended quant	Q4_K_M
VRAM to run	~4 GB (at Q4_K_M, 16.4K context)
Download size	~1 GB
License	License restricted

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

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gemma 1.1 2b it — 2.5B, google
gemma 2b it — 2.5B, google
h2ovl mississippi 2b — 2.2B, h2oai

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