Arli AI
A recurring no-cost API allowance with provider-published access terms.
https://api.arliai.com/v1Models mentioned
The offer covers a dynamic catalog, provider-selected route, or model class without stable model IDs in this snapshot.
Equivalent paid value
How this was valued: Free accounts may use each model for 5 requests every 2 days (an independent per-model quota per first-party docs), capped at 12K context tokens and 1 concurrent request, so per-model best case is 2.5 requests/day with the full 12,000-token per-request envelope assigned to costlier output. This subtotal saturates that quota only for the four catalog entries that are unmodified release models with exact-model paid prices on OpenRouter (GLM-4.7, MiMo-V2.5, DeepSeek-V4-Flash-0731, Gemma-4-31B-it; snapshot 2026-08-22); the remaining 88 finetune/merge/derestricted catalog entries carry equal independent quotas but have no exact-model paid counterpart, so their value is real but unpriced. Arli AI's own paid offering is an unlimited-usage subscription with no per-token rate, so exact-model router prices are the comparison. Per-model rows are additive here because the quota is documented as independent per model. Assumes uninterrupted saturation across the two-day reset cycle.
Limits and terms
- Requests Per Model Per Two Days
- 5
- Max Context Tokens
- 12,000
- Concurrent Requests
- 1
What happens to your prompts?
Arli AI documents transient-only processing with no prompt/output storage, training, or content-based improvement.
- Plan Scope
- Arli AI hosted inference API.
- Prompt Retention
- Arli AI states prompts and inputs are used only transiently to return a response and are not logged, stored, retained, or accessed afterward.
- Response Retention
- Generated outputs receive the same zero-log treatment.
- Ordinary Logging
- Usage metadata such as request count, model, and request parameters is logged for rate limiting and usage tracking without prompt or output content.
- Model Training
- Arli AI's transient-use license does not authorize training on prompts or outputs, and its zero-log design leaves no ordinary stored content for training.
- Product Improvement
- Aggregated or non-content usage data may support operations; the terms do not authorize prompt or output use for product improvement.
- Human Or Operator Access
- Arli AI states it does not store or have access to prompt and output content beyond transient request processing.
- Subprocessors And Routing
- Open-weight or third-party models may carry model licenses and use restrictions, but the published terms describe Arli AI as the inference host rather than a changing external gateway.
- Deletion Controls
- There is no prompt history to delete under the stated zero-log design. Account and personal-data rights are governed by the privacy policy.
- Caveat
- Zero-log claims are first-party contractual statements, not an independently verified technical guarantee; metadata is still retained.
Governing documents
- Terms And Conditions
- https://www.arliai.com/terms
- Privacy Policy
- https://www.arliai.com/privacy
Eligibility
- Account Required
- Yes
- Payment Method Required
- No