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What a Fixed Monthly AI Budget Actually Buys in 2026

At a stated request shape of 2,000 input tokens and 500 output tokens -- roughly a multi-paragraph support reply or a short code-review comment -- a fixed monthly budget buys a very different number of requests depending which of this catalogue's callable models it is spent on. The table below works that arithmetic by hand from the same rate table this platform bills from, at three budget tiers, on three callable models spanning the cheap and expensive ends of the catalogue. There is no separate credits system here: what a budget buys is exactly what the per-token rate says it buys, at whatever request shape actually gets sent.

Put your own numbers in before you take ours on trust.

See what your own budget buys

The request shape this table assumes

Every number below assumes the same request shape: 2,000 input tokens and 500 output tokens, a stated assumption rather than a measurement -- enough context to resemble a real support reply or a short code-review comment, not a full document upload or a one-word classification call. A different shape changes every number in the table; the rates it is built from are below, so a reader with a different average request can redo the arithmetic against their own shape.

Input rate, our price against official -- the rate this table is built on
Input rate, our price against official -- the rate this table is built onThis is the reference rate the request-and-token counts below are computed from, on the same five callable text models. On input, DeepSeek V4 Flash is the lowest at $0.090 per 1M tokens and Kimi K3 the highest at $1.85 per 1M tokens, a 20.6x spread. Every rate here runs 36–42% below the model publisher's own.Kimi K2.6$0.55Kimi K2.6, official$0.95Kimi K3$1.85Kimi K3, official$3.00GLM-5.2$0.82GLM-5.2, official$1.40DeepSeek V4 Pro$0.28DeepSeek V4 Pro, official$0.43DeepSeek V4 Flash$0.090DeepSeek V4 Flash, official$0.14
This is the reference rate the request-and-token counts below are computed from, on the same five callable text models. On input, DeepSeek V4 Flash is the lowest at $0.090 per 1M tokens and Kimi K3 the highest at $1.85 per 1M tokens, a 20.6x spread. Every rate here runs 36–42% below the model publisher's own.Our published rates, read from the same table the API bills from.

What three budgets actually buy

The table below picks three of the seven callable models -- DeepSeek V4 Flash, GLM-5.2 and Kimi K3 -- spanning the cheap and expensive ends of the catalogue, and works out how many requests and total tokens each budget buys at the stated request shape, computed from the same per-token rate the rest of this table's figure shows.

The same budget question, in dollars instead of requests
Official rate
$12.50
Our rate, GLM-5.2
$7.29
The same budget question, in dollars instead of requestsThe table below counts what a budget buys in requests; this converts the same rate table into what a stated month of usage costs against what GLM-5.2's own publisher would charge for the same volume. At 5M input and 1.25M output tokens a month, at this table's own request shape on GLM-5.2, that is $7.29 a month against $12.50 at the official rate, a difference of $5.21.
The table below counts what a budget buys in requests; this converts the same rate table into what a stated month of usage costs against what GLM-5.2's own publisher would charge for the same volume. At 5M input and 1.25M output tokens a month, at this table's own request shape on GLM-5.2, that is $7.29 a month against $12.50 at the official rate, a difference of $5.21.Computed from this site's published rates and the model publisher's own.
Budget / monthDeepSeek V4 FlashGLM-5.2Kimi K3
$1037,037 requests (~92.6M tokens)3,430 requests (~8.6M tokens)1,219 requests (~3.0M tokens)
$50185,185 requests (~463.0M tokens)17,152 requests (~42.9M tokens)6,097 requests (~15.2M tokens)
$250925,925 requests (~2314.8M tokens)85,763 requests (~214.4M tokens)30,487 requests (~76.2M tokens)

Why this is not a credits system

There is no separate credits abstraction behind this table -- it is per-request arithmetic on the same per-token rate every other page on this site shows, at one stated request shape. A real bill depends on the actual token counts a real workload sends, which will not match 2,000-in/500-out exactly; the point of stating the assumption plainly is so the table can be recomputed against a different one rather than trusted as a universal answer.

Questions this raises

Does real usage actually average 2,000 input and 500 output tokens per request?
No -- that is a stated assumption for this table, chosen to resemble a support reply or a short code-review comment. A coding agent's real ratio, covered in this site's article on agent token costs, runs far more input-heavy. Recompute the table against your own shape using the rates in the figure above.
Which model buys the most requests for a given budget?
DeepSeek V4 Flash, by a wide margin at every tier -- see the table above for the exact figures, computed from the same rate table the API bills from.
Is this a credits or token-balance system unique to this platform?
No. There is no separate credits abstraction here -- the table is per-request arithmetic on the standard per-token rate, at one stated request shape, the same way every price on this site is computed.

AI Token Router is an OpenAI-compatible gateway for open-weight models, priced below each publisher’s own rate on every row.

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