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Hawiyat API

Self-hosted models,
priced per token

GLM 5.3 Flash, DeepSeek V4.1 Flash and GLM 5.2 on one key. Balance topped up from the dashboard, spent per request.

3 models · 1M context · pay per 1M tokens

Uptime

99.9%

confirmed on every line

Cache hit

98.7%

on repeated context

Latency

Low

served from local GPU

Pricing

Half

of official rates

Three models, one key

Prices per 1M tokens, in dollars. Cache rows are billed separately from fresh input.

GLM 5.3 Flash

HALF PRICE1M ctx

The workhorse. Cheapest line we run, built for volume.

Input
$0.06
Output
$0.21
Cache read
$0.017
Use GLM 5.3 Flash

DeepSeek V4.1 Flash

HALF PRICE1M ctx

High-throughput line for agents and long pipelines.

Input
$0.15
Output
$0.60
Cache hit
$0.003
Use DeepSeek V4.1 Flash

GLM 5.2

HALF PRICE1M ctx

Flagship line for long-horizon, project-scale work.

Input
$0.60
Output
$2.10
Cache read
$0.15
Use GLM 5.2

DeepSeek V4.1 Flash shown at peak rates.

How a request is carried

One key, several lines

OUR GPU

primary

OFFICIAL

fallback 1

OFFICIAL

fallback 2

These models already run on rented GPU capacity that we operate ourselves. That capacity is one line in a fallback chain that also includes the official providers, so a request is always carried by a line that is up. Confirming uptime on several lines at once is what lets us hold availability at 99.9% instead of betting the service on a single endpoint. It is also why you keep our prices: you are not paying the expensive platform rates on top.

Top up from the dashboard

No subscription and no monthly cap to fit inside. You add balance to your key, and every request draws from it at the rates above. Usage, spend and cache savings sit in the same place.

Questions

How is the Hawiyat API priced?

Per million tokens, in dollars, with no monthly minimum. You top up a balance in the dashboard and it is spent on the models you call. Nothing expires and there is no subscription to cancel.

Which models are available?

GLM 5.3 Flash, DeepSeek V4.1 Flash and GLM 5.2 run on our own GPU capacity, all three at half the official rate. All three carry a 1M-token context window and are served from the same endpoint with the same API key.

How do you keep uptime at 99.9%?

The models already run on our own rented GPU capacity, and that capacity is one line in a fallback chain that also includes the official providers. If a line degrades, the request is carried by another one, so the service stays up without us charging platform-level prices.

What does 'optimized to half' mean?

Our caching and request-reuse layer cuts what you pay for the same work. Repeated context is served from cache at a fraction of the input price, so the effective cost of a running workload lands near half.

How do I add balance?

Top up from the usage dashboard. Pick an amount, pay, and the balance is credited to your API key. Usage is metered per request and visible in the same dashboard.