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LG AI Research · open-weights

EXAONE 4.0 (32B)

EXAONE 4.0 (32B) is an open-weights language model from LG AI Research, released July 15, 2025. Its makers disclosed about 32B parameters.

This technical report introduces EXAONE 4.0, which integrates a Non-reasoning mode and a Reasoning mode to achieve both the excellent usability of EXAONE 3.5 and the advanced reasoning abilities of EXAONE Deep.

Check it against your own PC →

Lab
LG AI Research
Released
July 15, 2025
Weights
Open
Parameters
32B disclosed
Context
–
Price / M tokens
–
Epoch ECI
not yet rated

Can you run EXAONE 4.0 (32B) locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMSize unknown––––
8 GB VRAMSize unknown––––
12 GB VRAMSize unknown––––
16 GB VRAMSize unknown––––
24 GB VRAMSize unknown––––
32 GB VRAMSize unknown––––

Parameter count unknown. The weights may not be on Hugging Face yet.

Benchmark results

Epoch AI has not published results for EXAONE 4.0 (32B) yet. New models are usually evaluated within days to weeks.

Links

Announcement

More from LG AI Research

K-EXAONE 2.0 · EXAONE 4.5 · K-EXAONE

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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