Model Comparison

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

Kimi K2.5 significantly outperforms across most benchmarks. K-EXAONE-236B-A23B is 1.7x cheaper per token.

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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.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

K-EXAONE-236B-A23B costs less

For input processing, Kimi K2.5 ($0.60/1M tokens) costs the same as K-EXAONE-236B-A23B ($0.60/1M tokens).

For output processing, Kimi K2.5 ($3.00/1M tokens) is 3.0x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).

In conclusion, Kimi K2.5 is more expensive than K-EXAONE-236B-A23B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$3.00
Best providerFireworks
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

Kimi K2.5 accepts 262,100 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Sat Apr 18 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

2 months ago

3w newer
K-EXAONE-236B-A23B

Dec 31, 2025

3 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

Provider Availability

Kimi K2.5 is available from Fireworks, Moonshot AI. K-EXAONE-236B-A23B is available from FriendliAI.

Kimi K2.5

fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $3.00/1M
moonshot logo
Unknown Organization
Input Price:Input: $0.60/1MOutput Price:Output: $3.00/1M

K-EXAONE-236B-A23B

friendli logo
Unknown Organization
Input Price:Input: $0.60/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Moonshot AI
Larger context window (262,100 tokens)
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
Less expensive output tokens

Detailed Comparison

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

FAQ

Common questions about Kimi K2.5 vs K-EXAONE-236B-A23B

Kimi K2.5 significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI 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.
Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.
Both models cost $0.60 per million input tokens.
Kimi K2.5 supports 262K 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 context window (262K vs 33K), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Kimi K2.5 is developed by Moonshot AI and K-EXAONE-236B-A23B is developed by LG AI Research.