--- title: "Novita AI free inference" description: "A finite allowance for new accounts; it does not recur." canonical_url: "https://freeinferencing.com/provider/novita_ai/" md_url: "https://freeinferencing.com/provider/novita_ai.md" last_updated: "2026-09-19" --- # Novita AI > A finite allowance for new accounts; it does not recur. ## Classification - **Directory:** Current - **Free access:** One-time trial - **Status:** Current trial - **Confidence:** High - **Payment card:** Unknown - **Account:** Not documented - **Equivalent paid value:** Not quantifiable - **API endpoint:** `https://api.novita.ai/v3/openai` ## Models mentioned - `inclusionai/ling-3.0-flash-fin` - `bunny` - `qwen/qwen3.5-plus` - `qwen/qwen3.6-plus` - `inclusionai/ling-3.0-flash-vl` - `inclusionai/ling-3.0-flash-sante` - `dev/glm46` ## Limits and terms ```yaml signup_voucher_amount: dashboard_only recurrence: false caveat: The finite new-user voucher is followed by prepaid top-ups; promotional vouchers can expire. ``` ## What happens to your prompts? **Private.** Default inference content is transient and excluded from training and service improvement, subject to narrow legal and support exceptions. Privacy is audited separately from price. Review the current governing terms before sending sensitive or regulated data. ## Data governance and agreements ```yaml data_governance: review_status: reviewed plan_scope: Novita AI marketplace inference APIs and web services; storage products, sandboxes, support, and legal exceptions have separate persistence. prompt_retention: Default inference Content is retained only for request processing and delivery. Exceptions permit retention where law requires or where necessary for service delivery or technical support. response_retention: Same default ZDR and support/legal exceptions as prompts. ordinary_logging: Account data persists for the account lifetime plus seven years; technical logs can persist two years, transaction records seven years, and communications three years without turning inference content into ordinary logs. model_training: Novita states it does not use Content to train its own models by default. product_improvement: The terms state Content is not used to improve services by default; de-identified personal and technical information may still be used indefinitely for research and statistics. human_or_operator_access: Content is not logged for human review under default ZDR, except where needed for service delivery, technical support, law, or security. Automated safety screening is always permitted. subprocessors_and_routing: Novita operates a model marketplace and uses service providers; underlying model licenses and optional storage or sandbox products can add separate rules. deletion_controls: Ordinary inference content is discarded after delivery. Account and stored-product data can be deleted subject to the lengthy legal, tax, support, and technical-log schedules. caveat: The ZDR promise applies to inference Content, not persistent storage products, paused sandboxes, support submissions, account records, or technical metadata. agreements: terms_of_service: https://novita.ai/legal/terms-of-service privacy_policy: https://novita.ai/legal/privacy-policy acceptable_use_policy: https://novita.ai/legal/acceptable-use-policy ``` ## Eligibility No structured eligibility block was recorded. ## API compatibility and modalities - **Compatibility:** OpenAI Compatible - **Modalities:** Model inference ## Before you build with Novita AI ### Read the classification narrowly This record describes the bounded offer supported by evidence on 2026-09-19; it does not guarantee permanence, production suitability, uptime, latency, model quality, or access from every account and region. “One-time trial” should be interpreted together with the Current directory placement, High confidence, Unknown payment-card status, and the plan-specific sources below. ### Resolve the live model route The snapshot records 7 model IDs. Match the exact ID against the provider's current catalog before using it in code because zero-price routes, aliases, context limits, and feature support can rotate while an older documentation page remains online. ### Match the quota to the workload shape Translate the allowance into peak requests per minute, input and output tokens, concurrency, retries, and every daily or monthly ceiling that applies to the intended account. The first limit reached by the workload is the practical ceiling. A large token pool can still fail interactive bursts, and a high request limit can still fail long-context work. Include tool calls and retry traffic, test the largest realistic payload, and treat research, experimental, and community access as conditional on their eligibility and fair-use terms. ### Preserve billing and privacy boundaries The recorded payment-card requirement is Unknown, and account access is not documented. Confirm both in the live signup flow, set provider-side budgets when charges are possible, and observe the balance or usage fields after a complete request. The prompt-handling classification is **Private** because Default inference content is transient and excluded from training and service improvement, subject to narrow legal and support exceptions. Re-read the terms for the exact route and plan before sending sensitive, regulated, or proprietary content. ### Follow the evidence, then re-check it This record links 9 first-party sources covering the offer, catalog, limits, pricing, terms, privacy, or adoption evidence available to the audit. Prefer the newest and most specific governing document or live catalog when sources disagree. A dated finding can become stale even when the page remains online, so retain the source and snapshot that supported the decision and submit a correction when a provider changes a material term. ### Plan fallback without policy drift A fallback should preserve modality, context length, streaming, structured output, tools, safety controls, and data terms, not only API syntax. Decide which errors may retry, cap retry storms, and prevent an exhausted free route from silently switching to a billable model. Rotating aliases and free pools can change behavior without changing the endpoint, so retain the response model field and test at least one substitute route before the primary offer becomes unavailable. ### Monitor the offer as a dependency Capture the model ID, response model, rate-limit headers, usage fields, latency, HTTP status, and provider request identifier. Watch authorization failure, quota exhaustion, catalog removal, policy revision, and balance movement as separate failure modes. Re-check the live catalog and governing sources on a schedule proportionate to the workload's importance, and keep an owner and exit path for any production dependency on volatile free capacity. ### Test one complete request before scaling Start with the smallest permitted request using the exact credential, model ID, endpoint, region, and account type intended for deployment. Record the status, headers, usage fields, response model, latency, and dashboard balance movement. Then exercise an invalid model, quota exhaustion, or rate limit so failure is explicit and cannot silently switch to a paid route. Validate streaming, structured output, and tool calls separately because a free model can expose fewer features than its paid counterpart. Keep a budget ceiling outside the application whenever billing is possible, and do not send sensitive data until the observed route matches the reviewed agreement. ## Primary sources - [Quickstart](https://novita.ai/docs/guides/quickstart): Official Quickstart - [Pricing](https://novita.ai/pricing): Official Pricing - [LLM models API](https://api.novita.ai/v3/openai/models): Live Catalog - [Novita AI Terms of Service](https://novita.ai/legal/terms-of-service): Official Terms - [Novita AI Privacy Policy](https://novita.ai/legal/privacy-policy): Official Privacy - [Novita AI Acceptable Use Policy](https://novita.ai/legal/acceptable-use-policy): Official Aup - [Rate limits page documenting image/video defaults only](https://novita.ai/docs/guides/model-apis-rate-limits): Official Docs - [Novita AI named a top AI infrastructure vendor on Ramp (2026-03-24, cites 350K+ developers and 1T+ tokens/day)](https://www.prnewswire.com/news-releases/novita-ai-named-a-top-ai-infrastructure-vendor-on-ramp-302722905.html): Company Press Release - [PyPI download stats for novita-client (official Novita AI Python SDK)](https://pypistats.org/packages/novita-client): Package Registry Stats ## Sitemap See the full [semantic sitemap](/sitemap.md) for every page and markdown mirror.