GPT-6 Sol vs K-EXAONE-236B-A23B
GPT-6 Sol leads the LLM Stats Score 49.4 to 26.2. K-EXAONE-236B-A23B is 5.7x cheaper per token.
OpenAI · LG AI Research · Updated for 2026
Which is better?
GPT-6 Sol leads the overall LLM Stats Score 49.4 to 26.2, ranking #21 overall.
On price, K-EXAONE-236B-A23B is roughly 5.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Sol 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 Sol
- overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
- your work emphasizes reasoning and 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 Sep 2026
Choose K-EXAONE-236B-A23B
- cost matters — it's about 5.7x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
5 reported for GPT-6 Sol · 6 for K-EXAONE-236B-A23B
GPT-6 Sol 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 Sol ($2.00/1M tokens) is 3.3x more expensive than K-EXAONE-236B-A23B ($0.60/1M tokens).
For output processing, GPT-6 Sol ($10.00/1M tokens) is 10.0x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).
In conclusion, GPT-6 Sol is more expensive than K-EXAONE-236B-A23B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Sol accepts 1,050,000 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. GPT-6 Sol 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 Sol supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
GPT-6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Sol
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 Sol was released on 2026-09-22, while K-EXAONE-236B-A23B was released on 2025-12-31.
GPT-6 Sol 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 Sol has a knowledge cutoff of 2026-04-20, while K-EXAONE-236B-A23B has a cutoff of 2025-10-01.
GPT-6 Sol has more recent training data (up to 2026-04-20), making it potentially better informed about events through that date compared to K-EXAONE-236B-A23B (2025-10-01).
Apr 2026
6 mo newerOct 2025
Provider Availability
GPT-6 Sol is available from OpenAI. K-EXAONE-236B-A23B is available from FriendliAI.
GPT-6 Sol
K-EXAONE-236B-A23B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Sol and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Sol vs K-EXAONE-236B-A23B.