Prepaid plans

Managed LLM inference on open models, at a fixed monthly price

An OpenAI compatible inference API for production teams. Prepay a month of counted tokens on one open model, with your requests at once held for you and an uptime SLA in the contract. The price stays the same for the whole term, whatever GPU prices do.

Price for the term
Fixed
GPUs, never spot
Reserved
Data retention
0 days
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OpenAI compatible
import os
from openai import OpenAI

client = OpenAI(
    base_url=os.environ["SPHERON_BASE_URL"],
    api_key=os.environ["SPHERON_API_KEY"],
)
client.chat.completions.create(
    model="glm-5.3",
    messages=messages,
)

Change the base URL and key. Keep the rest of your code.

Plans

A monthly allowance, paid up front

Every plan is counted tokens a month on one model, with requests at once held for you and a price fixed for the term. Run GLM-5.3, GLM-5.3-Flash, DeepSeek V4.1 Flash or another open model.

Month to month

Starter

3 month termMost popular

Growth

Sized to you

Dedicated

Your price depends on the model, your monthly volume and the term. Send the form and an engineer replies within one business day with a quote in writing. Go past your allowance and requests keep working, billed at your plan's own rate.

How tokens count

Output costs the most to serve and cached input the least, so each kind counts by its weight. One rule then covers chat and long agent prompts fairly. On DeepSeek V4.1 Flash, cached input counts 0.03.

1,500 counted

7,000 counted

1,400 counted

Counted, per request9,900
Starter holds a month
505K of these requests
Growth holds a month
2.02M of these requests
Use cases

Inference for production workloads

Shared plans for steady product traffic, dedicated inference endpoints for teams that need whole nodes. Either way you call one API and pay one monthly price.

Agents and coding tools

Long tool calling loops on GLM-5.3. Cached prompt tokens count a quarter of fresh ones, so a 30K token agent context stays cheap to resend.

RAG and enterprise search

Answer over your own documents with context windows from 256K to 1M tokens, so you retrieve more and trim less.

Customer support and chat

Replies that stay quick at your busiest hour, because the requests at once your plan holds are yours alone.

Batch and data pipelines

Classify, extract and summarize millions of records on DeepSeek V4.1 Flash or GLM-5.3-Flash at a cost you know before the month starts.

Your own fine tuned model

Dedicated plans run a custom or fine tuned open model on single tenant nodes, behind the same OpenAI compatible API.

A token factory for your product

Buy the tokens your product uses each month up front. GPU prices can swing; your inference bill stays one fixed line.
Every plan

What every plan includes

One price for the term

GPU prices move every week. Yours does not: the rate you sign is the rate you pay until renewal.

Reserved GPUs, never spot

Your requests at once are held on GPUs reserved for plans, never on capacity that can be taken back.

OpenAI compatible

Point any OpenAI SDK or agent at the endpoint and keep your code. Chat, tools, structured output and streaming.

Zero data retention

Prompts and answers pass through and are never stored or used for training.

Full weights, labelled

Each model runs at the precision its maker publishes, named on the model page. No quiet downgrades.

A usage page

Counted tokens against your allowance, with the month's pace, on the Inference page in the app.
How it works

From request to a live plan

Request a plan

Tell us your models, monthly volume and busiest moment. An engineer replies within one business day.

Try it on a trial key

Run your real traffic on a capped trial key and check speed and answers before you commit to a plan.

Sign and prepay

Sign one order form for the whole term. We invoice the first month, or the quarter for 5% off, up front.

Live within 2 business days

Your plan goes live within two business days of payment. Track its allowance and usage in the app.

Tell us about
your workload.

Tell us what you run and roughly how much. An engineer replies within one business day with a plan, a quote and a trial key if you want to test first.

  1. A reply within one business day

    An engineer sizes the plan to your traffic and sends a quote.

  2. Try before you commit

    A capped trial key runs your real traffic first.

  3. Nothing charged until you sign

    One order form for the term, then the first invoice.

Prefer a conversation first?

Book a call with an engineer

Request a plan

* Required

01 / Contact
02 / Plan
Models *
03 / Workload

We email you a code first, to confirm the address. Nothing is charged until you sign the order.

FAQ / 12

Questions teams ask

Allowances, overage, models, uptime and data.

We run the open model, the GPUs and the serving stack, and you call an API. You get an OpenAI compatible endpoint, a monthly token allowance and an uptime SLA, with no GPUs, drivers or autoscaling to look after.

Yes. A Dedicated plan runs your model on single tenant nodes sized to your traffic, with the region pinned to the EU or the US and p99 latency in the contract. Starter and Growth share reserved GPUs across plan teams.

GLM-5.3, GLM-5.3-Flash and DeepSeek V4.1 Flash on every plan. Dedicated plans can also run another open model, or your own fine tuned weights.

Yes. Point any OpenAI SDK, agent framework or coding tool at the base URL with your key. Chat completions, tool calling, structured output and streaming work as you expect.

Per token pricing moves with the market and gives no capacity guarantee. A plan fixes your price for the term and holds your requests at once, so a busy hour on someone else's traffic never slows yours.

It depends on the model, your monthly volume and the term. Send the form and an engineer replies within one business day with a quote in writing. Prepaying a quarter or more takes 5% off.

Nothing stops. Counted tokens past the allowance are billed at your plan's own rate on the next invoice, and we suggest a bigger plan if it keeps happening.

Unused tokens expire at the end of each plan month. You can move down a plan at any renewal.

Yes, at each renewal. Open models improve every few weeks, and your plan can follow them.

Your plan's model answering requests. If a month falls below the promise in your plan, service credits come off the next invoice without you having to ask.

Prompts and answers are never stored or used for training. Dedicated plans can pin the region to the EU or the US. Ask us for the security pack and the DPA.

Prepaying lets us reserve GPUs for your plan at a known cost before your month starts. That is why your price never moves during the term.

// Inference plans

Lock your inference price for the term

A month of counted tokens on one open model, paid up front, at a price that does not move.

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