llm_models
shallowapp.apick/all · Verify this server
List available text-generation LLM models with per-token pricing and max context. 텍스트 생성 모델 카탈로그를 반환합니다. 각 모델의 1M 토큰당 input/output 단가(포인트), 계열·크기·멀티모달 여부·태그·추천 용도(use_cases)·max_context 를 한 응답에 포함합니다. llm_chat Tool의 model 입력값을 찾을 때 사용합니다. 무료입니다. [무료]
100.0/100
1 trials · measured 8 days ago
llm_models scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against app.apick/all, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote + stdio
- Credential class
- self-provisionable
- Category
- Developer infrastructure
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
Available for every tool, scored or not — not a verification perk. Always links back to this page.
[](https://vouch.tools/tools/2554033f-8d9b-4d90-a738-e89c612b616c)