Model Comparison

GPT-5.2 vs K-EXAONE-236B-A23B

GPT-5.2 significantly outperforms across most benchmarks. K-EXAONE-236B-A23B is 6.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-5.2 outperforms in 2 benchmarks (AIME 2025, MMMLU), while K-EXAONE-236B-A23B is better at 0 benchmarks.

GPT-5.2 significantly outperforms across most benchmarks.

Thu Apr 09 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, GPT-5.2 ($1.75/1M tokens) is 2.9x more expensive than K-EXAONE-236B-A23B ($0.60/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 14.0x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).

In conclusion, GPT-5.2 is more expensive than K-EXAONE-236B-A23B.*

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

Lowest available price from all providers
Thu Apr 09 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
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

GPT-5.2 accepts 400,000 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. GPT-5.2 can generate longer responses up to 128,000 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Thu Apr 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.2

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-5.2

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while K-EXAONE-236B-A23B was released on 2025-12-31.

K-EXAONE-236B-A23B is 1 month newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

3 months ago

K-EXAONE-236B-A23B

Dec 31, 2025

3 months ago

2w newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a knowledge cutoff of 2025-08-25, 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-5.2 (2025-08-25).

GPT-5.2

Aug 2025

K-EXAONE-236B-A23B

Oct 2025

2 mo newer

Provider Availability

GPT-5.2 is available from OpenAI. K-EXAONE-236B-A23B is available from FriendliAI.

GPT-5.2

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

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

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (100.0% vs 92.8%)
Higher MMMLU score (89.6% vs 85.7%)
LG AI Research
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about GPT-5.2 vs K-EXAONE-236B-A23B

GPT-5.2 significantly outperforms across most benchmarks. GPT-5.2 is made by OpenAI 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.
GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.
K-EXAONE-236B-A23B is 2.9x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli.
GPT-5.2 supports 400K 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 (400K vs 33K), input pricing ($1.75 vs $0.60/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
GPT-5.2 is developed by OpenAI and K-EXAONE-236B-A23B is developed by LG AI Research.