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EXAONE 4.5 33B vs GLM-5.3

Comparing EXAONE 4.5 33B and GLM-5.3 across benchmarks, pricing, and capabilities.

LG AI Research · Zhipu AI · Updated for 2026

Which is better?

EXAONE 4.5 33B and GLM-5.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose EXAONE 4.5 33B

  • you are already invested in the LG AI Research ecosystem

Choose GLM-5.3

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$1.40 / M
Output price
— / M
$4.40 / M
Context window
1,048,576
Released
Apr 2026
Aug 2026
License
Proprietary
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

EXAONE 4.5 33B and GLM-5.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

720.0B diff

GLM-5.3 has 720.0B more parameters than EXAONE 4.5 33B, making it 2181.8% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
33.0B
EXAONE 4.5 33B
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,048,576 tokens). Only GLM-5.3 specifies output context (131,072 tokens).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Zhipu AI
GLM-5.3
Input1,048,576 tokens
Output131,072 tokens
Thu Aug 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

EXAONE 4.5 33B supports multimodal inputs, whereas GLM-5.3 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

Text
Images
Audio
Video

GLM-5.3

Text
Images
Audio
Video

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 4 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

4 months ago

GLM-5.3

Aug 14, 2026

1 weeks ago

4mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while GLM-5.3'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 GLM-5.3's cutoff date.

EXAONE 4.5 33B

Dec 2024

GLM-5.3

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and GLM-5.3 side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs GLM-5.3.

Which is better, EXAONE 4.5 33B or GLM-5.3?

EXAONE 4.5 33B (LG AI Research) and GLM-5.3 (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does EXAONE 4.5 33B compare to GLM-5.3 in benchmarks?

EXAONE 4.5 33B scores AIME 2025: 92.9%, AIME 2026: 92.6%, IFEval: 89.6%, AI2D: 89.0%, MathVista-Mini: 85.0%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

What are the context window sizes for EXAONE 4.5 33B and GLM-5.3?

EXAONE 4.5 33B supports an unknown number of tokens and GLM-5.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between EXAONE 4.5 33B and GLM-5.3?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and GLM-5.3?

EXAONE 4.5 33B is developed by LG AI Research and GLM-5.3 is developed by Zhipu AI.