yangmao.ai · Python setup money page

Novita AI Python API Setup

Use this page when you need a working Python starting point for Novita AI, then validate quota and model names in the official console before production.

Quick verdict

  • Free API: $0.50 free credits
  • Rate limits: 60 RPM
  • Best model starting point: Llama 3.3 70B
  • Mainland China access: proxy/relay likely needed

Provider fit matrix

Best fit Image generation prototypes, creative automation, and media workflows
Watch out Image/video credits can burn faster than chat tokens; test with small batches first
Production fallback Keep at least one compatible backup provider before shipping

Novita buyer intent notes

Who should care

Best for SDXL/Flux image APIs, mixed text+image prototypes, and teams that want OpenAI-compatible calls without self-hosting GPUs.

Decision trigger

Use Novita when small free credits are enough to validate image workflows before moving to paid generation.

Watch out: Image credits burn quickly; test resolution, batch size, and retry behavior with tiny prompts first.

Production readiness checklist

Quota gate Start inside $0.50 free credits; log usage before adding retries or batch jobs.
No-card check Try the free path first, then confirm whether billing is required for API keys, higher RPM, or production endpoints.
Regional smoke test Run signup, dashboard, DNS, TLS, and first API call checks from mainland China before launch.
Source freshness Snapshot date: 2026-05-31; official quota and pricing can change without notice.

Python setup snapshot

Start with the smallest possible chat completion, then move the key to your server-side secret manager before production.

from openai import OpenAI

client = OpenAI(
    api_key="your-novita-key",
    base_url="https://api.novita.ai/v3/openai"
)

response = client.chat.completions.create(
    model="meta-llama/llama-3.3-70b-instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Free API and pricing notes

$0.50 free credits

New users get $0.50 free credits, supports text and image generation

Access and production risk

Relay or proxy may be needed

Requires proxy in China. Image generation API has demand in China, accessible via proxy.

How to set it up

1

Create or locate your provider API key in the official dashboard.

2

Install the OpenAI-compatible Python SDK or the provider-supported SDK.

3

Set the API key in an environment variable instead of hard-coding secrets.

4

Run a small Novita AI chat completion with Llama 3.3 70B.

5

Watch free credits, RPM/TPM limits, response shape, and error messages before scaling.

Credit-change alerts

Want to know when free credits, pricing, or availability changes? Subscribe first, then compare official providers, API gateways, and alternatives.

Subscribe → Get an OpenLLMAPI key → Compare API gateways →

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
novita
Official source
https://novita.ai
Last updated
2026-05-31
Free tier
credit-based
API credits
$0.50 free credits
Rate limit
60 RPM
Access note
Requires proxy in China. Image generation API has demand in China, accessible via proxy.

FAQ

Does Novita AI have a free API?

Yes. Current yangmao.ai record: $0.50 free credits. Rate limit note: 60 RPM.

Is Novita AI OpenAI-compatible?

The recorded setup uses an OpenAI-compatible pattern or SDK-style call. Validate the latest base URL and model names in Novita AI docs.

Can I use Novita AI from mainland China?

Novita AI may need a proxy or relay from mainland China. Test latency and signup before production.

What should I do when Novita AI credits run out?

Compare the alternatives below, check /en/free-ai-api/, and shortlist official providers or API gateway options before production.

What is Novita best used for?

Novita is strongest for quick image-generation API tests and mixed media workflows where managed endpoints are easier than GPU operations.

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