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LG

LG EXAONE 4.5

LG EXAONE 4.5 is a LG model with 262K context, Not verified in / Not verified out per million tokens, last verified September 2, 2026. Open weights: yes. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

EXAONE 4.5 is LG's open-weight 33B model with a 260K context for research/education use.

Catalog record checked September 2, 2026Individual provider fields may change

AI model specification details
SpecificationLG EXAONE 4.5
ProviderLG
TierBalanced
Context window262K
Max outputNot verifiedUnverified
Input / 1M tokensNot verifiedUnverified
Output / 1M tokensNot verifiedUnverified
WeightsOpen
Parameters33B
Reasoning levelslow, medium, high
Modalitiestext, image
API model idEXAONE-4.5-33B
ReleasedApril 9, 2026

Pricing tiers: Open-weights (EXAONE NC license, non-commercial); self-host. 33B.

Verified evidence

Published benchmark results

Each result keeps its source and measurement date visible. A missing benchmark is not treated as a zero.

Published benchmark results for LG EXAONE 4.5
BenchmarkScoreMeasuredSource
Artificial Analysis Intelligence Index412026-08-14Artificial Analysis · View source

Best for

  • Open-weight deployments
  • Research/edu
  • Long-context

Watch out

Non-commercial license; verify terms before production use.

Source receipts

Catalog figures for this model were checked against the following sources.

Common questions

LG EXAONE 4.5

Answered from the verified figures on this page rather than general guidance.

What is LG EXAONE 4.5's context window?

LG EXAONE 4.5 accepts about 262K tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.

What is LG EXAONE 4.5 best for?

LG EXAONE 4.5 is a balanced tier from LG. It suits open-weight deployments, research/edu, long-context. Non-commercial license; verify terms before production use.

Can I self-host LG EXAONE 4.5?

LG EXAONE 4.5 publishes open weights, but self-hosting depends on the licence, hardware footprint, quantisation quality, and serving stack. A hosted API is often cheaper until you have measured throughput and concurrency on your own hardware.