EXAONE 4.5 33B vs o4-mini
EXAONE 4.5 33B and o4-mini are closely matched at 26.0 and 27.5 on the LLM Stats Score.
LG AI Research · OpenAI · Updated for 2026
Which is better?
EXAONE 4.5 33B and o4-mini are closely matched on the overall LLM Stats Score at 26.0 and 27.5.
In the 3 individual benchmarks reported for both models, o4-mini wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose EXAONE 4.5 33B
- you want the most recent training data — it shipped Apr 2026
Choose o4-mini
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for EXAONE 4.5 33B · 14 for o4-mini
EXAONE 4.5 33B outperforms in 1 benchmarks (AIME 2025), while o4-mini is better at 2 benchmarks (GPQA, MMMU).
o4-mini shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only o4-mini specifies input context (200,000 tokens). Only o4-mini specifies output context (100,000 tokens).
Input capabilities
Documented input modalities across available providers
Both EXAONE 4.5 33B and o4-mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
EXAONE 4.5 33B
o4-mini
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
EXAONE 4.5 33B was released on 2026-04-09, while o4-mini was released on 2025-04-16.
EXAONE 4.5 33B is 12 months newer than o4-mini.
Apr 9, 2026
5 months ago
11mo newerApr 16, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
EXAONE 4.5 33B has a knowledge cutoff of 2024-12-01, while o4-mini has a cutoff of 2024-05-31.
EXAONE 4.5 33B has more recent training data (up to 2024-12-01), making it potentially better informed about events through that date compared to o4-mini (2024-05-31).
Dec 2024
7 mo newerMay 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against EXAONE 4.5 33B and o4-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about EXAONE 4.5 33B vs o4-mini.