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EXAONE 4.5 33B vs Gemma 4 12B

EXAONE 4.5 33B and Gemma 4 12B are closely matched at 26.0 and 22.0 on the LLM Stats Score.

LG AI Research · Google · Updated for 2026

Which is better?

EXAONE 4.5 33B and Gemma 4 12B are closely matched on the overall LLM Stats Score at 26.0 and 22.0.

In the 5 individual benchmarks reported for both models, EXAONE 4.5 33B wins 4; 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 4 of 5 exact shared results

Choose Gemma 4 12B

  • you want the most recent training data — it shipped May 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

EXAONE 4.5 33B
LG AI Research
Gemma 4 12B
Google
Core performance indexes
LLM Stats Score
26.0
#151
22.0
#179
Reasoning
26.6
#144
23.0
#166
Cost, coverage & limits
Benchmark wins
4 of 5
1 of 5
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
EXAONE 4.5 33B
Gemma 4 12B
Math
28.4#93
18.4#181
Vision
13.4#95
10.9#113
Multimodal
16.3#80
17.0#78
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 15 for Gemma 4 12B

5 shared

EXAONE 4.5 33B outperforms in 4 benchmarks (AIME 2026, GPQA, LiveCodeBench v6, MMLU-Pro), while Gemma 4 12B is better at 1 benchmark (MMMU-Pro).

EXAONE 4.5 33B significantly outperforms across most benchmarks.

Fri Sep 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

21.0B diff

EXAONE 4.5 33B has 21.0B more parameters than Gemma 4 12B, making it 175.9% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
Google
Gemma 4 12B
12.0Bparameters
33.0B
EXAONE 4.5 33B
12.0B
Gemma 4 12B

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and Gemma 4 12B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

EXAONE 4.5 33B

Text
Images
Audio
Video

Gemma 4 12B

Text
Images
Audio
Video

License

Usage and distribution terms

EXAONE 4.5 33B is licensed under a proprietary license, while Gemma 4 12B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

EXAONE 4.5 33B

Proprietary

Closed source

Gemma 4 12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Gemma 4 12B was released on 2026-05-23.

Gemma 4 12B is 1 month newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

5 months ago

Gemma 4 12B

May 23, 2026

3 months ago

1mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a knowledge cutoff of 2024-12-01, while Gemma 4 12B has a cutoff of 2025-01-01.

Gemma 4 12B has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to EXAONE 4.5 33B (2024-12-01).

EXAONE 4.5 33B

Dec 2024

Gemma 4 12B

Jan 2025

1 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and Gemma 4 12B side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
Gemma 4 12B
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Gemma 4 12B.

Which is better, EXAONE 4.5 33B or Gemma 4 12B?

EXAONE 4.5 33B and Gemma 4 12B are closely matched on the LLM Stats Score at 26.0 and 22.0. EXAONE 4.5 33B is made by LG AI Research and Gemma 4 12B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does EXAONE 4.5 33B compare to Gemma 4 12B 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%. Gemma 4 12B scores FLEURS: 93.1%, MMMLU: 83.4%, MathVision: 79.7%, GPQA: 78.8%, AIME 2026: 77.5%.

What are the main differences between EXAONE 4.5 33B and Gemma 4 12B?

Key differences include LLM Stats Score (26.0 vs 22.0), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Gemma 4 12B?

EXAONE 4.5 33B is developed by LG AI Research and Gemma 4 12B is developed by Google.

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