GPT-6 Luna vs K-EXAONE-236B-A23B
GPT-6 Luna leads the LLM Stats Score 44.5 to 26.2. GPT-6 Luna is 3.5x cheaper per token.
OpenAI · LG AI Research · Updated for 2026
Which is better?
GPT-6 Luna leads the overall LLM Stats Score 44.5 to 26.2, ranking #40 overall.
On price, GPT-6 Luna is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Luna 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 Luna
- overall performance matters — it scores 44.5 and ranks #40 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- cost matters — it's about 3.5x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose K-EXAONE-236B-A23B
- you want predictable pricing at $0.60/M input and $1.00/M output
At a glance
The differences that matter most.
Individual benchmarks
5 reported for GPT-6 Luna · 6 for K-EXAONE-236B-A23B
GPT-6 Luna 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
For input processing, GPT-6 Luna ($0.10/1M tokens) is 6.0x cheaper than K-EXAONE-236B-A23B ($0.60/1M tokens).
For output processing, GPT-6 Luna ($0.50/1M tokens) is 2.0x cheaper than K-EXAONE-236B-A23B ($1.00/1M tokens).
In conclusion, K-EXAONE-236B-A23B is more expensive than GPT-6 Luna.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. GPT-6 Luna can generate longer responses up to 128,000 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Luna supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Luna
K-EXAONE-236B-A23B
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-6 Luna was released on 2026-09-22, while K-EXAONE-236B-A23B was released on 2025-12-31.
GPT-6 Luna is 9 months newer than K-EXAONE-236B-A23B.
Sep 22, 2026
0 days ago
8mo newerDec 31, 2025
8 months ago
Knowledge Cutoff
When training data ends
GPT-6 Luna has a knowledge cutoff of 2026-05-18, while K-EXAONE-236B-A23B has a cutoff of 2025-10-01.
GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to K-EXAONE-236B-A23B (2025-10-01).
May 2026
7 mo newerOct 2025
Provider Availability
GPT-6 Luna is available from OpenAI. K-EXAONE-236B-A23B is available from FriendliAI.
GPT-6 Luna
K-EXAONE-236B-A23B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Luna and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Luna vs K-EXAONE-236B-A23B.