만들기 전에 무료 LLM API를 검증하는 실전 체크리스트
프로바이더에 의존하기 전에 무료 LLM API의 이용 조건·테스트 근거·운영 한도를 확인하는 개발자 체크리스트.
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글 읽기 →OpenAI 호환 API: 「그대로 갈아끼울 수 있다」고 부르기 전에 테스트할 것
요청 형태·응답 의미론·오류·한도, 그리고 애플리케이션이 실제로 의존하는 기능에 대한 실전 호환성 테스트.
한국어로 읽기 가능
글 읽기 →모델 수가 아니라 근거로 무료 AI API를 비교하는 방법
검증된 접근, 쓸 수 있는 한도, 호환성, 실패 동작, 변경 리스크로 무료 AI API를 비교합니다. 모델 디렉터리의 크기가 아닙니다.
한국어로 읽기 가능
글 읽기 →모델 출시는 이전 계획이 아닙니다: 전환하기 전에 테스트할 것
출시·미리보기·별칭 변경·종료 통지를 분류하고, 재현 가능한 계약 테스트로 AI 애플리케이션을 이전합니다.
한국어로 읽기 가능
글 읽기 →inclusionAI Ling 3.0 Flash Sante added to OpenRouter
OpenRouter has added the inclusionAI Ling 3.0 Flash Sante model to its API catalog. The model is available with a free tier and supports a context length of 262,144 tokens.
Official sourceIndependent audit
영어 원문 읽기 →inclusionAI: Ling 3.0 Flash Sante (free) is now listed as a free model on OpenRouter
inclusionAI: Ling 3.0 Flash Sante (free) (inclusionai/ling-3.0-flash-sante:free) was detected with zero prompt, completion and request pricing in the official OpenRouter catalog. Review the access paths before building on it.
Official sourceIndependent audit
영어 원문 읽기 →Groq adds Qwen/Qwen3.8-27B to supported models
Groq has added the Qwen/Qwen3.8-27B model to its list of supported preview models, with a token speed of 450 tps, a context window of 131,042 tokens, and a maximum completion length of 16,384 tokens.
Official sourceIndependent audit
영어 원문 읽기 →Ox Alpha: What API Users Should Verify During the Free 1M-Context Preview
A new anonymous reasoning model, Ox Alpha (stealth/ox-alpha), is available free through OpenRouter and Nous Portal with a 1M-token context window. Here is what is documented, what is not, and how to verify before building.
Official sourcesHuman checked
영어 원문 읽기 →GPT-5.6 and Gemini 3.7 Flash: What API Users Should Verify Now
Two current model updates emphasize coding and agent workflows, but migration decisions still depend on model IDs, interfaces, limits and representative tests.
Official sourcesHuman checked
영어 원문 읽기 →Choosing an API for Image, Audio and Video Applications
Select multimodal APIs by input, output, transport and fallback requirements—not by a text-model leaderboard.
Official sourcesHuman checked
영어 원문 읽기 →Designing an AI Agent That Can Survive a Free API Failure
Separate agent state, model routing, tool permissions and API keys so a provider outage or quota change does not stop the whole workflow.
Official sourcesHuman checked
영어 원문 읽기 →A Model Release Is Not a Migration Plan: What to Test Before You Switch
Separate launches, previews, alias changes and shutdown notices, then migrate an AI application with a reproducible contract test.
Official sourcesHuman checked
영어 원문 읽기 →LiquidAI LFM2.5-2.6B added to OpenRouter free tier
OpenRouter has added the LiquidAI LFM2.5-2.6B model to its free API access list, providing developers with a new zero-cost option for inference tasks.
Official sourceIndependent audit
영어 원문 읽기 →Z.ai GLM 5.2 added to OpenRouter free tier
OpenRouter has added Z.ai GLM 5.2 as a free model option, providing developers with access to this model without cost via the OpenRouter API.
Official sourceIndependent audit
영어 원문 읽기 →OpenRouter adds Dots Studio Dots3-Note Preview to free tier
OpenRouter has added the Dots Studio Dots3-Note Preview model to its free API access list. The model supports a context length of 512,000 tokens.
Official sourceIndependent audit
영어 원문 읽기 →How to Compare Free AI APIs Using Evidence Instead of Model Count
Compare free AI APIs by verified access, usable limits, compatibility, failure behavior, and change risk—not the size of a model directory.
Official sourcesHuman checked
영어 원문 읽기 →OpenAI-Compatible APIs: What to Test Before Calling Them Drop-In Compatible
A practical compatibility test for request shape, response semantics, errors, limits, and the features your application actually depends on.
Official sourcesHuman checked
영어 원문 읽기 →A Practical Checklist for Verifying a Free LLM API Before You Build
A developer checklist for verifying free LLM API access, testing evidence, and checking operational limits before relying on a provider.
Official sourcesHuman checked
영어 원문 읽기 →A Five-Check Smoke Test for an OpenAI-Compatible Endpoint
A compact sequence for separating interface compatibility from authentication, generation, and production-readiness claims.
Measured locallyHuman checked
영어 원문 읽기 →Local ChatGPT2API Smoke Test: What Worked
A bounded record of one authenticated local completion—and the reliability and production questions it cannot answer.
Measured locallyHuman checked
영어 원문 읽기 →How to create an NVIDIA NIM API key
The current official signup path, account requirements and the safe next step after the key is created.
Official pathPractical steps
영어 원문 읽기 →Cerebras starter credits require payment verification
What the current starter-credit rule changes for users expecting a no-card free API route.
Official sourceAccess impact
영어 원문 읽기 →Connect an OpenAI-compatible provider to Codex
Where compatibility ends, how to keep the key local and when an adapter is required.
ConfigurationKey safety
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