InferIndex
Language, English, EN
Account

ModelsOpenAIo4 Mini High

o4 Mini High

openai/o4-mini-high200k context Compare →
Offers
3
Providers
3

Cheapest right now

NanoGPT

The provider's published policy: prompts are not used for training.

200k

$1.93 blended / 1M tokens

No change7D
in
$1.10
out
$4.40
Cached input
$0.55

o4 Mini High costs from $1.93 per million tokens (at a 3:1 input:output mix): the cheapest current offer, at NanoGPT, checked on ; 3 offers are listed.

Listed offers, by price

Comparable offersOther offersSolid steps are comparable offers; dashed steps are the other offers, which are not counted in cheapest, median or most expensive.

Offers not counted in cheapest, median or most expensive (2)

  • $1.93 · FastRouter via FastRouter · cannot be designated the cheapest
  • $2.03 · ShengSuanYun via ShengSuanYun · cannot be designated the cheapest

Price historyThe cheapest offer each day, against the lab's official list price when it publishes one. Each day at 00:00 UTC, the offer the API would have selected as the cheapest, with the same exclusions as /cheapest. Blended price, promotions included.

Cheapest offer and official list price, by day, 30 days
DayCheapest offerOfficial list price
2026-10-02$1.93, FastRouter–
2026-10-03$1.93, FastRouter–
2026-10-04$1.93, FastRouter–
2026-10-05$1.93, FastRouter–
2026-10-06$1.93, OpenAI–
2026-10-07$1.93, OpenAI–
2026-10-08$1.93, OpenAI–
2026-10-09$1.93, OpenAI–
2026-10-10$1.93, OpenAI–
2026-10-11$1.93, OpenAI–
2026-10-12$1.93, OpenAI–
2026-10-13$1.93, OpenAI–
2026-10-14$1.93, OpenAI–
2026-10-15$1.93, OpenAI–
2026-10-16$1.93, OpenAI–
2026-10-17$1.93, OpenAI–
2026-10-18$1.93, OpenAI–
2026-10-19$1.93, OpenAI–
2026-10-20$1.93, OpenAI–
2026-10-21$1.93, OpenAI–
2026-10-22$1.93, OpenAI–
2026-10-23$1.93, OpenAI–
2026-10-24$1.93, NanoGPT–
2026-10-25$1.93, NanoGPT–
2026-10-26$1.93, NanoGPT–
2026-10-27$1.93, NanoGPT–
2026-10-28$1.93, NanoGPT–
2026-10-29$1.93, NanoGPT–
2026-10-30$1.93, NanoGPT–
2026-10-31$1.93, NanoGPT–

Cheapest offer

Offers

3 of 3 offers

Offers for o4 Mini High, one row per offer, sorted by blended price.
RankProvider · viaYou buy access through an aggregator: one account and one API that forward your requests to other providers. "Via" names the aggregator; the price is the one it charges you. When "via" says "hosted API", no aggregator is involved: the model belongs to a lab and another provider sells it.Input $/1MOutput $/1MBlended $/1MA single price that mixes input and output: 3 input tokens for 1 output token, per million tokens. It makes offers easy to rank; your real cost depends on your own mix. ContextThe maximum amount of text, counted in tokens, the model can take in and write in a single request. Past this limit, the request is refused or cut.ConditionsWhat a provider says about how it handles your data and who can sign up: training on prompts, processing region, sign-up requirements. Each comes from the provider's published documents; when nothing is published, it stays unknown.SignalsOffer
1 NanoGPT 1.10 4.40 1.93 200k
2 FastRouter 1.10 4.40 1.93 200k Unverified. Neither seller nor price found on its page for 72 hours: listed, not designated cheapest
3 ShengSuanYun 1.16 4.63 2.03 200k Unverified. No public page for this offer: listed, not designated cheapest

No training on promptsTraining terms not published

backend not named. The router bills this price itself without naming who serves the model.

Blended = (3 × input + output) / 4, per million tokens. Prices in USD, converted at the ECB rate when the provider bills in another currency.

Method

Monthly cost for your workload

Computed by the API for the three cheapest offers, per 30-day month.
  1. NanoGPT$132.00per month

Compare o4 Mini High with

Related models

More from OpenAI

All OpenAI models

Same index family

Use this data

The index is queryable. The API is free to use.
Free API
curl https://api.inferindex.dev/cheapest?model=openai/o4-mini-high
MCP server
claude mcp add --transport http inferindex https://mcp.inferindex.dev/mcp

Also works in Cursor and Codex: see the MCP page.