Kimi K2.5 vs K-EXAONE-236B-A23B Comparison

Comparing Kimi K2.5 and K-EXAONE-236B-A23B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Kimi K2.5 outperforms in 3 benchmarks (AIME 2025, LiveCodeBench v6, MMLU-Pro), while K-EXAONE-236B-A23B is better at 0 benchmarks.

Kimi K2.5 significantly outperforms across most benchmarks.

Tue Mar 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
Tue Mar 17 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
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

764.0B diff

Kimi K2.5 has 764.0B more parameters than K-EXAONE-236B-A23B, making it 323.7% larger.

Moonshot AI
Kimi K2.5
1000.0Bparameters
LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
1000.0B
Kimi K2.5
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).

Moonshot AI
Kimi K2.5
Input- tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.5 supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

Kimi K2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2.5

Text
Images
Audio
Video

K-EXAONE-236B-A23B

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.5 is licensed under MIT, 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.

Kimi K2.5

MIT

Open weights

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while K-EXAONE-236B-A23B was released on 2025-12-31.

Kimi K2.5 is 1 month newer than K-EXAONE-236B-A23B.

Kimi K2.5

Jan 27, 2026

1 months ago

3w newer
K-EXAONE-236B-A23B

Dec 31, 2025

2 months ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Kimi K2.5'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 Kimi K2.5's cutoff date.

Kimi K2.5

—

K-EXAONE-236B-A23B

Oct 2025

Outputs Comparison

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Key Takeaways

Moonshot AI
Supports multimodal inputs
Has open weights
Higher AIME 2025 score (96.1% vs 92.8%)
Higher LiveCodeBench v6 score (85.0% vs 80.7%)
Higher MMLU-Pro score (87.1% vs 83.8%)
LG AI Research
Larger context window (32,768 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
LG AI Research
K-EXAONE-236B-A23B