GPT-6 Rosalind vs K-EXAONE-236B-A23B
Comparing GPT-6 Rosalind and K-EXAONE-236B-A23B across benchmarks, pricing, and capabilities.
OpenAI · LG AI Research · Updated for 2026
Which is better?
GPT-6 Rosalind and K-EXAONE-236B-A23B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, K-EXAONE-236B-A23B is roughly 42.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Rosalind
- you want the most recent training data — it shipped Oct 2026
Choose K-EXAONE-236B-A23B
- cost matters — it's about 42.9x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
0 reported for GPT-6 Rosalind · 6 for K-EXAONE-236B-A23B
GPT-6 Rosalind 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 Rosalind ($15.00/1M tokens) is 25.0x more expensive than K-EXAONE-236B-A23B ($0.60/1M tokens).
For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 75.0x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).
In conclusion, GPT-6 Rosalind 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
Only K-EXAONE-236B-A23B specifies input context (32,768 tokens). Only K-EXAONE-236B-A23B specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
GPT-6 Rosalind supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
GPT-6 Rosalind can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Rosalind
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 Rosalind was released on 2026-10-30, while K-EXAONE-236B-A23B was released on 2025-12-31.
GPT-6 Rosalind is 10 months newer than K-EXAONE-236B-A23B.
Oct 30, 2026
6 days ago
10mo newerDec 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 Rosalind'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 Rosalind's cutoff date.
—
Oct 2025
Provider Availability
GPT-6 Rosalind is available from OpenAI. K-EXAONE-236B-A23B is available from FriendliAI.
GPT-6 Rosalind
K-EXAONE-236B-A23B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Rosalind and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Rosalind vs K-EXAONE-236B-A23B.