Model Comparison

Gemma 3n E2B Instructed LiteRT (Preview) vs K-EXAONE-236B-A23B

K-EXAONE-236B-A23B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while K-EXAONE-236B-A23B is better at 2 benchmarks (AIME 2025, MMLU-Pro).

K-EXAONE-236B-A23B significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

234.1B diff

K-EXAONE-236B-A23B has 234.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 12256.0% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
236.0B
K-EXAONE-236B-A23B

Context Window

Maximum input and output token capacity

Only K-EXAONE-236B-A23B specifies input context (32,768 tokens). Only K-EXAONE-236B-A23B specifies output context (32,768 tokens).

Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

Gemma 3n E2B Instructed LiteRT (Preview) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

K-EXAONE-236B-A23B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, while K-EXAONE-236B-A23B uses a proprietary license.

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

Gemma 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while K-EXAONE-236B-A23B was released on 2025-12-31.

K-EXAONE-236B-A23B is 8 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

11 months ago

K-EXAONE-236B-A23B

Dec 31, 2025

3 months ago

7mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a knowledge cutoff of 2024-06-01, while K-EXAONE-236B-A23B has a cutoff of 2025-10-01.

K-EXAONE-236B-A23B has more recent training data (up to 2025-10-01), making it potentially better informed about events through that date compared to Gemma 3n E2B Instructed LiteRT (Preview) (2024-06-01).

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

K-EXAONE-236B-A23B

Oct 2025

1.3 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Has open weights
LG AI Research
Larger context window (32,768 tokens)
Higher AIME 2025 score (92.8% vs 6.7%)
Higher MMLU-Pro score (83.8% vs 40.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed LiteRT (Preview)
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs K-EXAONE-236B-A23B

K-EXAONE-236B-A23B significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) is made by Google and K-EXAONE-236B-A23B is made by LG AI Research. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.
Gemma 3n E2B Instructed LiteRT (Preview) supports an unknown number of tokens and K-EXAONE-236B-A23B supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and K-EXAONE-236B-A23B is developed by LG AI Research.