Model Comparison

Gemini Diffusion 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

1 benchmarks

Gemini Diffusion outperforms in 0 benchmarks, while K-EXAONE-236B-A23B is better at 1 benchmark (AIME 2025).

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

Fri Apr 17 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
Fri Apr 17 2026 • llm-stats.com
Google
Gemini Diffusion
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→

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
Gemini Diffusion
Input- tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini Diffusion

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini Diffusion 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 Gemini Diffusion.

Gemini Diffusion

May 20, 2025

11 months ago

K-EXAONE-236B-A23B

Dec 31, 2025

3 months ago

7mo newer

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Gemini Diffusion's cutoff date is not specified.

We can confirm K-EXAONE-236B-A23B's training data extends to 2025-10-01, but cannot make a direct comparison without Gemini Diffusion's cutoff date.

Gemini Diffusion

—

K-EXAONE-236B-A23B

Oct 2025

Outputs Comparison

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Key Takeaways

Google
LG AI Research
Larger context window (32,768 tokens)
Higher AIME 2025 score (92.8% vs 23.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini Diffusion
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about Gemini Diffusion vs K-EXAONE-236B-A23B

K-EXAONE-236B-A23B significantly outperforms across most benchmarks. Gemini Diffusion 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.
Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.
Gemini Diffusion 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.
Gemini Diffusion is developed by Google and K-EXAONE-236B-A23B is developed by LG AI Research.