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

  1. Use case

    Start with support, content, internal ops, or regulated work.

  2. Risk

    Separate data sensitivity, Korean long-form risk, refusals, and hallucination risk.

  3. Candidates

    Narrow Claude, GPT, Gemini, and Solar families across cost, speed, and quality.

  4. Paid validation

    Benchmark 20 real work prompts and failure samples.

  5. Buying decision

    Deliver which model to buy, wait on, and what to ask vendors.

  6. 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.