yangmao.ai · Jina retrieval API money page
Jina AI Free API: 1M Tokens, Embeddings, Rerank & Reader Setup
Jina AI is best when your retrieval workflow needs more than plain vectors: embeddings, reranking, Reader-style extraction, and multilingual RAG checks.
Quick verdict
- Free API: 1M free tokens for new users.
- Rate limits: Token-quota based; verify model-specific limits in the Jina dashboard.
- Best model starting point: jina-embeddings-v3
- Mainland China access: direct or relatively friendly
Provider fit matrix
Jina AI buyer intent notes
Who should care
Best for multilingual embeddings, reranking, reader/search workflows, and RAG teams that need retrieval tools beyond plain vectors.
Decision trigger
Use Jina AI when reranking and multilingual retrieval matter as much as the first embedding call.
Watch out: It is not a general chat-completion provider; validate endpoint shape, model-specific limits, and reranker cost before production indexing.
Production readiness checklist
Python setup snapshot
Start with the smallest possible embeddings request, then move the key to your server-side secret manager before production.
from openai import OpenAI
client = OpenAI(
api_key="your-jina-api-key",
base_url="https://api.jina.ai/v1",
)
response = client.embeddings.create(
model="jina-embeddings-v3",
input="Hello from yangmao.ai",
)
print(len(response.data[0].embedding))cURL smoke test
Use this to verify endpoint, auth header, model name, response shape, and quota before adding SDK abstractions.
curl https://api.jina.ai/v1/embeddings \
-H "Authorization: Bearer $JINA_AI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "jina-embeddings-v3",
"input": "Hello from yangmao.ai"
}'Free API and pricing notes
1M free tokens for new users.
Jina AI is strongest for embeddings, reranking, Reader, and search/RAG workflows; it is not a general chat-completion provider.
Access and production risk
Mainland China friendly / direct path likely
Website and API are generally reachable in many regions, but test latency, reliability, and signup flow before production.
Decision checklist
Check Jina AI free credits and rate limits.
Compare same-category providers and Mainland China access needs.
Pick the provider with the clearest no-card/free API path for testing.
Jina AI production validation table
Use this table before sending real users, scheduled agents, or paid traffic to Jina AI. The goal is to validate source freshness, quota behavior, regional access, and fallback needs instead of trusting a stale free-credit claim.
额度变动提醒
想知道免费额度、价格或可用性变化？先订阅提醒，后续也可以对比官方平台、API 网关和同类替代方案。
订阅提醒 → 获取 OpenLLMAPI Key → 比较 API 网关 →Related internal links
Source snapshot
Data source: yangmao.ai provider YAML tracker plus provider docs reviewed by the daily crawler. Official dashboards can change quota and pricing without notice; verify before production.
- yangmao.ai provider id
- jina-ai
- Official source
- https://jina.ai/
- Last updated
- 2026-06-16
- Free tier
- 1M free tokens on signup.
- API credits
- 1M free tokens for new users.
- Rate limit
- Token-quota based; verify model-specific limits in the Jina dashboard.
- Access note
- Website and API are generally reachable in many regions, but test latency, reliability, and signup flow before production.
FAQ
Does Jina AI have a free API?
Yes. Current yangmao.ai record: 1M free tokens for new users.. Rate limit note: Token-quota based; verify model-specific limits in the Jina dashboard..
Is Jina AI OpenAI-compatible?
The recorded setup uses an OpenAI-compatible pattern or SDK-style call. Validate the latest base URL and model names in Jina AI docs.
Can I use Jina AI from mainland China?
Jina AI is marked as relatively direct or Mainland-China-friendly in the current tracker.
What should I do when Jina AI credits run out?
Compare the alternatives below, check /en/free-ai-api/, and shortlist official providers or API gateway options before production.
When is Jina AI better than a plain embedding API?
Use Jina when multilingual retrieval, reranking, Reader extraction, or search/RAG workflow tooling matters alongside embeddings.
What should I verify before production indexing?
Check token quota, model dimensions, reranker cost, latency, and whether your vector database expects the same embedding size.
What is Jina AI best for?
Jina AI is strongest for embeddings, reranking, Reader, and search/RAG workflows rather than general chat generation.