About
KoreanLLM is a decision platform for narrowing Korean LLM candidates, cost, and failure patterns before purchase.
✦ Evidence assets — 10 public notes · 2026-05-20 ~ 2026-05-29
✦Free diagnostic
Choose use case, sensitivity, volume, and priority to generate an initial model candidate and buying brief.
✦Paid report
From a 48-hour diagnostic to a 7-day benchmark sprint, we deliver real work prompts and cost/latency/quality tables.
✦Public evidence
Existing notes and Q&A stay as trust assets that show Korean LLM failure and cost patterns.
✦Pre-NDA friendly
Initial scoping works from purpose, tone, and failure criteria without raw documents.
Diagnostic methodology
Use case
Start with support, content, internal ops, or regulated work.
Risk
Separate data sensitivity, Korean long-form risk, refusals, and hallucination risk.
Candidates
Narrow Claude, GPT, Gemini, and Solar families across cost, speed, and quality.
Paid validation
Benchmark 20 real work prompts and failure samples.
Buying decision
Deliver which model to buy, wait on, and what to ask vendors.
Re-evaluation
Refresh the decision when pricing, limits, or policy changes.
Model figures (pricing, context, params, license) last re-verified against official sources: 2026-07-13.
Verifiable public evidence
FAQ
›Is the free diagnostic enough?
It is enough to narrow candidates. A purchase decision needs a paid report with work prompts and cost scenarios.
›Do you need raw documents?
Not for initial scoping. Sensitive documents require NDA and a separate handling path.
›Why focus on Korean LLMs?
English benchmark scores do not map cleanly to Korean long-form instructions, honorific tone, refusals, and local work documents.
›How do payments work?
Today we reply with an invoice or card link. Once the payment account is connected, this can switch to instant checkout.