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GPT-6 Cyber vs K-EXAONE-236B-A23B

GPT-6 Cyber leads the LLM Stats Score 41.0 to 25.4. K-EXAONE-236B-A23B is 57.1x cheaper per token.

OpenAI · LG AI Research · Updated for 2026

Which is better?

GPT-6 Cyber leads the overall LLM Stats Score 41.0 to 25.4, ranking #79 overall.

On price, K-EXAONE-236B-A23B is roughly 57.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Cyber also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Cyber

  • overall performance matters — it scores 41.0 and ranks #79 on LLM Stats
  • your work emphasizes agents — it leads those capability indexes
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Nov 2026

Choose K-EXAONE-236B-A23B

  • cost matters — it's about 57.1x cheaper per token

At a glance

The differences that matter most.

Core performance indexes
41.0
#79
25.4
#190
31.2
#47
3.1
#199
Cost, coverage & limits
Benchmark wins
—
—
Input price
$20.00 / M
$0.60 / M
Output price
$100.00 / M
$1.00 / M
Context window
1,050,000
32,768

Individual benchmarks

1 reported for GPT-6 Cyber · 6 for K-EXAONE-236B-A23B

No common benchmarks found

GPT-6 Cyber and K-EXAONE-236B-A23Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

K-EXAONE-236B-A23B costs less

For input processing, GPT-6 Cyber ($20.00/1M tokens) is 33.3x more expensive than K-EXAONE-236B-A23B ($0.60/1M tokens).

For output processing, GPT-6 Cyber ($100.00/1M tokens) is 100.0x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).

In conclusion, GPT-6 Cyber is more expensive than K-EXAONE-236B-A23B.*

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

Lowest available price from all providers
Wed Nov 11 2026 • llm-stats.com
OpenAI
GPT-6 Cyber
Input tokens$20.00
Output tokens$100.00
Best providerOpenAI
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-6 Cyber accepts 1,050,000 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. GPT-6 Cyber can generate longer responses up to 128,000 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

OpenAI
GPT-6 Cyber
Input1,050,000 tokens
Output128,000 tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Cyber supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

GPT-6 Cyber can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Cyber

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-6 Cyber

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Cyber was released on 2026-11-05, while K-EXAONE-236B-A23B was released on 2025-12-31.

GPT-6 Cyber is 10 months newer than K-EXAONE-236B-A23B.

GPT-6 Cyber

Nov 5, 2026

5 days ago

10mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

10 months ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while GPT-6 Cyber'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-6 Cyber's cutoff date.

GPT-6 Cyber

—

K-EXAONE-236B-A23B

Oct 2025

Provider Availability

GPT-6 Cyber is available from OpenAI. K-EXAONE-236B-A23B is available from FriendliAI.

GPT-6 Cyber

openai logo
OpenAI
Input Price:Input: $20.00/1MOutput Price:Output: $100.00/1M

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

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Cyber and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.

GPT-6 Cyber
✓ Preferred
K-EXAONE-236B-A23B
Open in Playground

FAQ

Common questions about GPT-6 Cyber vs K-EXAONE-236B-A23B.

Which is better, GPT-6 Cyber or K-EXAONE-236B-A23B?

GPT-6 Cyber leads the LLM Stats Score 41.0 to 25.4. GPT-6 Cyber 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 capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Cyber compare to K-EXAONE-236B-A23B in benchmarks?

GPT-6 Cyber scores ExploitGym: 48.5%. 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-6 Cyber cheaper than K-EXAONE-236B-A23B?

K-EXAONE-236B-A23B is 33.3x cheaper for input tokens. GPT-6 Cyber costs $20.00/M input and $100.00/M output via openai. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli.

What are the context window sizes for GPT-6 Cyber and K-EXAONE-236B-A23B?

GPT-6 Cyber supports 1.1M 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-6 Cyber and K-EXAONE-236B-A23B?

Key differences include LLM Stats Score (41.0 vs 25.4), context window (1.1M vs 33K), input pricing ($20.00 vs $0.60/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Cyber and K-EXAONE-236B-A23B?

GPT-6 Cyber is developed by OpenAI and K-EXAONE-236B-A23B is developed by LG AI Research.