Model Comparison

GPT-4o mini vs K-EXAONE-236B-A23B

Comparing GPT-4o mini and K-EXAONE-236B-A23B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-4o mini and K-EXAONE-236B-A23B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 4.0x cheaper than K-EXAONE-236B-A23B ($0.60/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 1.7x cheaper than K-EXAONE-236B-A23B ($1.00/1M tokens).

In conclusion, K-EXAONE-236B-A23B is more expensive than GPT-4o mini.*

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

Lowest available price from all providers
Fri May 29 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4o mini accepts 128,000 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. K-EXAONE-236B-A23B can generate longer responses up to 32,768 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Fri May 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o mini

Text
Images
Audio
Video

K-EXAONE-236B-A23B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-4o mini

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while K-EXAONE-236B-A23B was released on 2025-12-31.

K-EXAONE-236B-A23B is 18 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.9 years ago

K-EXAONE-236B-A23B

Dec 31, 2025

4 months ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a knowledge cutoff of 2023-10-01, 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 GPT-4o mini (2023-10-01).

GPT-4o mini

Oct 2023

K-EXAONE-236B-A23B

Oct 2025

2 yr newer

Provider Availability

GPT-4o mini is available from Azure. K-EXAONE-236B-A23B is available from FriendliAI.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

K-EXAONE-236B-A23B

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

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
LG AI Research

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about GPT-4o mini vs K-EXAONE-236B-A23B.

Which is better, GPT-4o mini or K-EXAONE-236B-A23B?

GPT-4o mini (OpenAI) and K-EXAONE-236B-A23B (LG AI Research) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-4o mini compare to K-EXAONE-236B-A23B in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.

Is GPT-4o mini cheaper than K-EXAONE-236B-A23B?

GPT-4o mini is 4.0x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli.

What are the context window sizes for GPT-4o mini and K-EXAONE-236B-A23B?

GPT-4o mini supports 128K 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.

What are the main differences between GPT-4o mini and K-EXAONE-236B-A23B?

Key differences include context window (128K vs 33K), input pricing ($0.15 vs $0.60/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and K-EXAONE-236B-A23B?

GPT-4o mini is developed by OpenAI and K-EXAONE-236B-A23B is developed by LG AI Research.