Billing and pricing
GM uses prepaid credit. There is no subscription: add credit to the account, then inference usage is deducted as requests complete.
Add credit
Section titled “Add credit”Sign in at saygm.com, open Credits, and select an available funding method. The dashboard currently supports card and crypto-based funding rails where enabled for the account.
Do not send funds to an address copied from documentation or an old screenshot. Always begin a top-up from the signed-in dashboard.
Current model prices
Section titled “Current model prices”The public model catalog is the machine-readable source for current prices:
curl -fsSL https://api.saygm.com/v1/modelsEvery entry carries a pricing object holding the exact dimensions the gateway
uses.
Read a rate
Section titled “Read a rate”pricing.unit is ndollars_per_mtok: nano-dollars per million tokens. The API
uses integers so a rate never depends on decimal rounding. Divide by
1,000,000,000 to get dollars per million tokens.
5000000000 ndollars / 1e9 = $5.00 per million input tokens 104000000 ndollars / 1e9 = $0.104 per million input tokenspricing.dimensions covers more than input and output. Cached reads, cache
writes at each retention window, cache storage per hour, audio tokens, and
long-context rates each have their own key, set to null where the dimension
does not apply. pricing.surcharges holds charges that are not per-token, such
as a per_event provider-side web search or a per_hour code-execution
sandbox.
Choose a model lists every dimension key.
Watch the long-context threshold
Section titled “Watch the long-context threshold”When a model sets long_context_threshold_tokens, requests past that size are
priced from long_context_input_per_mtok_ndollars and
long_context_output_per_mtok_ndollars instead of the standard rates. The step
is not small: gpt-5.5 sets the threshold at 272,000 tokens, with a
long-context input rate of $10.00 against a standard $5.00, and $45.00 against a
standard $30.00 for output.
Read the threshold from the catalog if your application builds large prompts or accumulates long conversations, and treat settlement as authoritative for the exact charge.
Request settlement
Section titled “Request settlement”The gateway checks that the account can cover an estimate before sending a
request. After the response, it settles against actual billable usage. A request
that cannot be admitted because the account lacks credit returns HTTP 402.
Per-request cost
Section titled “Per-request cost”Every successful inference response also carries the amount it actually
settled for, inside the response’s own usage block: cost in USD (a JSON
number with exactly nine fractional digits) and cost_nano_usd as an integer
in nano-USD, matching GET /v1/credits. This is the settled charge — after
miner pricing, buyer markup, the retail clamp, and any realised surcharges —
not an estimate derived from /v1/models rates, so it stays correct when the
cheapest eligible offer moves, a request crosses a long-context threshold, or
a cache-write or audio dimension applies. A reseller can bill straight from
cost (times its own markup) instead of re-deriving the rate itself.
The field is always on; no request opts in. See placement and streaming behavior on OpenAI, Anthropic, Gemini, and Streaming.
Avoid stale pricing
Section titled “Avoid stale pricing”- Do not copy a pricing table into application code.
- Refresh
/v1/modelsperiodically if your application displays cost estimates. - Treat the gateway’s settlement as authoritative.
- Use separate API keys when you need usage attribution by application.
See Usage for account-level reporting.