EXAONE 4.5 33B vs GPT OSS 120B
EXAONE 4.5 33B and GPT OSS 120B are closely matched at 26.0 and 28.8 on the LLM Stats Score.
LG AI Research · OpenAI · Updated for 2026
Which is better?
EXAONE 4.5 33B and GPT OSS 120B are closely matched on the overall LLM Stats Score at 26.0 and 28.8.
In the 1 individual benchmarks reported for both models, EXAONE 4.5 33B wins 1; 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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Apr 2026
Choose GPT OSS 120B
- you need open weights you can self-host or fine-tune
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 · 7 for GPT OSS 120B
EXAONE 4.5 33B outperforms in 1 benchmarks (GPQA), while GPT OSS 120B is better at 0 benchmarks.
EXAONE 4.5 33B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
GPT OSS 120B has 83.8B more parameters than EXAONE 4.5 33B, making it 253.9% larger.
Context Window
Maximum input and output token capacity
Only GPT OSS 120B specifies input context (131,072 tokens). Only GPT OSS 120B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
EXAONE 4.5 33B supports multimodal inputs, whereas GPT OSS 120B does not.
EXAONE 4.5 33B can handle both text and other forms of data like images, making it suitable for multimodal applications.
EXAONE 4.5 33B
GPT OSS 120B
License
Usage and distribution terms
EXAONE 4.5 33B is licensed under a proprietary license, while GPT OSS 120B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
EXAONE 4.5 33B was released on 2026-04-09, while GPT OSS 120B was released on 2025-08-05.
EXAONE 4.5 33B is 8 months newer than GPT OSS 120B.
Apr 9, 2026
5 months ago
8mo newerAug 5, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while GPT OSS 120B's cutoff date is not specified.
We can confirm EXAONE 4.5 33B's training data extends to 2024-12-01, but cannot make a direct comparison without GPT OSS 120B's cutoff date.
Dec 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against EXAONE 4.5 33B and GPT OSS 120B side-by-side, then vote on the output you prefer.
FAQ
Common questions about EXAONE 4.5 33B vs GPT OSS 120B.