Model Comparison

GPT-5.4 vs K-EXAONE-236B-A23B

Comparing GPT-5.4 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-5.4 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

K-EXAONE-236B-A23B costs less

For input processing, GPT-5.4 ($2.50/1M tokens) is 4.2x more expensive than K-EXAONE-236B-A23B ($0.60/1M tokens).

For output processing, GPT-5.4 ($15.00/1M tokens) is 15.0x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).

In conclusion, GPT-5.4 is more expensive than K-EXAONE-236B-A23B.*

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

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
OpenAI
GPT-5.4
Input tokens$2.50
Output tokens$15.00
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-5.4 accepts 1,000,000 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. GPT-5.4 can generate longer responses up to 128,000 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.4 supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

GPT-5.4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.4

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-5.4

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while K-EXAONE-236B-A23B was released on 2025-12-31.

GPT-5.4 is 2 months newer than K-EXAONE-236B-A23B.

GPT-5.4

Mar 5, 2026

1 months ago

2mo 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 GPT-5.4'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 GPT-5.4's cutoff date.

GPT-5.4

—

K-EXAONE-236B-A23B

Oct 2025

Provider Availability

GPT-5.4 is available from OpenAI. K-EXAONE-236B-A23B is available from FriendliAI.

GPT-5.4

openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

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

OpenAI
Larger context window (1,000,000 tokens)
Supports multimodal inputs
LG AI Research
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about GPT-5.4 vs K-EXAONE-236B-A23B

GPT-5.4 (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.
GPT-5.4 scores Tau2 Telecom: 98.9%, ARC-AGI: 93.7%, Graphwalks BFS <128k: 93.0%, GPQA: 92.8%, Graphwalks parents <128k: 89.8%. 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 4.2x cheaper for input tokens. GPT-5.4 costs $2.50/M input and $15.00/M output via openai. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli.
GPT-5.4 supports 1.0M 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 (1.0M vs 33K), input pricing ($2.50 vs $0.60/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
GPT-5.4 is developed by OpenAI and K-EXAONE-236B-A23B is developed by LG AI Research.