Documentation · Limits & pricing
Limits & pricing
Beta. The limits reflect the current beta configuration.
Pricing
- $0.09 per million input tokens (
spinf-12b, Gemma 4 12B). - Processed tokens = each content once + for every question, the filled template and each answer's tokens after its
first + the same for the empty floor, once per distinct question in the call (set
empty_floor: falseto skip it). No system prompt or other hidden tokens. For example, the quickstart call processes 148 tokens (50 of content, 49 for its 4 questions, 49 for their floors) and is billed the 1,000-token minimum. - Minimum 1,000 tokens per call, counted on the whole call: send many questions, and many contents with
inputs, in one call. Each model's minimum ismin_billed_tokens_per_callinGET /v1/models. - Prompt-packs have no surcharge: their questions are billed like yours (content moderation: 1,626 question tokens per content, plus the content once, shared with your own questions).
- The output (the scores) is free.
- A request needs $0.10 of credit to start. It is charged after scoring, on the tokens actually processed; a refused or failed request is not charged.
- New accounts start with $4.50 of free credit (50M tokens).
Limits of the open service
| Limit | Value |
|---|---|
| Content per input | 4,096 tokens (8,192 under evaluation) |
| Questions per input | up to 10,000 (templates × combinations) |
| Tokens per question | 256 (the filled template) |
| Answers per question | up to 1,000, each 1–5 tokens |
| Placeholders per template | up to 5; up to 1,000 combinations per template |
| Processed tokens per request | up to 2M; request body up to 2 MB |
| Requests per minute | 600 |
| Concurrent requests | 1 per $100 of credit balance (at least 1); more on request |
The system has been tested with content up to 64K tokens and longer questions. In that configuration the current models become less effective, and it is still under investigation.
Throughput
The on-demand service is built for throughput, not real time. It runs on elastic capacity, so the first request after an idle period may take a few seconds. After that, expect around 10,000 tokens per second.
Real time: reserved endpoints
For decisions inside live flows (routing tickets as they arrive, moderating posts before they are published, agents),
we reserve an endpoint for you: capacity that is always warm and sized to your traffic. Calls are pinned to it with the
endpoint field of the request (Scoring API). A good way to start is to calibrate on your history
with the on-demand service, then move the same questions and thresholds to the reserved endpoint. Reserved endpoints
are priced per project: contact us at info@spinf.com.
Large projects
For projects over 1T tokens we offer dedicated deployments and file-based (S3) batch analysis. The engine runs on datacenter-grade and consumer hardware (24 GB GPU minimum), and can be deployed on your premises when you need an extra level of privacy and security. Contact us at info@spinf.com.
Raw Markdown for agents: /docs/limits.md · /llms.txt