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EXAONE 4.5 33B

Multimodal
LG AI Research

EXAONE 4.5 is the first open-weight vision-language model from LG AI Research. It is a dense 33B multimodal model (31.7B language + 1.29B vision encoder) built by adding a dedicated visual encoder to the EXAONE 4.0 framework. It supports a 262,144-token context window, hybrid reasoning (thinking on by default), and strong performance on document understanding and Korean contextual reasoning while retaining EXAONE language capabilities. License: EXAONE AI Model License Agreement 1.2 - NC. Knowledge cutoff: December 2024.

Key Specifications

Parameters
33.0B
Context
-
Release Date
April 9, 2026
Average Score
78.3%

Timeline

Key dates in the model's history
Announcement
April 9, 2026
Last Update
September 10, 2026
Today
September 20, 2026

Technical Specifications

Parameters
33.0B
Training Tokens
-
Knowledge Cutoff
December 1, 2024
Family
-
Capabilities
MultimodalZeroEval

Benchmark Results

Model performance metrics across various tests and benchmarks

Reasoning

Logical reasoning and analysis
GPQA
Reasoning mode; source label GPQA-Diamond maps to catalog id gpqaSelf-reported
80.5%

Multimodal

Working with images and visual data
AI2D
Reasoning mode (official HF/GitHub table)Self-reported
89.0%
MMMU
Reasoning mode (official HF/GitHub table)Self-reported
78.7%

Other Tests

Specialized benchmarks
AA-LCR
Reasoning mode (official HF/GitHub table)Self-reported
50.6%
AIME 2025
Reasoning mode (official HF/GitHub table)Self-reported
92.9%
AIME 2026
Reasoning mode (official HF/GitHub table)Self-reported
92.6%
IFEval
Reasoning mode (official HF/GitHub table)Self-reported
89.6%
LiveCodeBench v6
Reasoning mode (official HF/GitHub table)Self-reported
81.4%
MathVista-Mini
Reasoning mode; source label MathVista (mini)Self-reported
85.0%
MMLU-Pro
Reasoning mode (official HF/GitHub table)Self-reported
83.3%
MMMU-Pro
Reasoning mode (official HF/GitHub table)Self-reported
68.6%
MMStar
Reasoning mode (official HF/GitHub table)Self-reported
74.9%
Tau2 Airline
Reasoning mode; τ²-Bench Airline categorySelf-reported
56.5%
Tau2 Retail
Reasoning mode; τ²-Bench Retail categorySelf-reported
77.9%
Tau2 Telecom
Reasoning mode; τ²-Bench Telecom categorySelf-reported
73.0%

License & Metadata

License
proprietary
Announcement Date
April 9, 2026
Last Updated
September 10, 2026

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