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GPT Terra Latest

This model always redirects to the latest model in the GPT Terra family.

OpenAIVerified 24/09/2026Released 11/09/2026

01 / decision

Decision snapshot

Each figure sits next to the middle of the field, so it can be read as dear or cheap, wide or narrow, rather than floating on its own. Compared against the 151 models we track, not against an absolute standard.

Capability

Not measured

No published benchmark scores yet

Input / 1M tokens

$2.00

field median $0.43

Output / 1M tokens

$12.00

field median $1.75

Context

1,050K

field median 524K

02 / overview

What GPT Terra Latest is, and when to reach for it

Four questions, answered separately, because somebody arrives at one of them rather than at the top of the page.

This model has no written explanation yet.

The page is created the moment a model appears in a provider's catalogue, and the writing follows. Until then the measured sections below are the whole page.

How we decide what counts as evidence

03 / evidence

How much of this is verified

Split by category, so a strong number never hides a thin evidence base. Verified means we read it on the benchmark's own published results; a provider's claim about its own model is shown and labelled rather than dropped.

No published benchmark scores for this model yet.

We publish a score only where we can link the result to where it was published. Until a benchmark result for this model exists in a source we read, this section stays empty rather than being filled with a provider's marketing figure.

How we decide what counts as evidence

04 / ledger

Benchmark ledger

Every published row, grouped by category, each compared with the best published score on the same benchmark. 'Is 64% good' is a question nobody can answer; '26 points behind the leader' is one anybody can.

Nothing in the ledger yet.

Each row here carries a score, the benchmark it came from, what the leading model scored on the same test, and a link to the published result. Rows appear as results are published and read.

How we decide what counts as evidence

05 / capability

Capability shape

Where this model is strong, and against how many peers. Ranks are against models with evidence in that category, not against everything we track: ranking against models nobody tested would rank who published, not who is better.

No category scores to shape yet.

A category score is the weighted mean of the benchmarks published for it. With no published rows there is nothing to average, and an empty chart drawn at zero would say something false.

How we decide what counts as evidence

06 / cost

What it costs

List API rates as last read from the provider, with the source on every row, plus every change we have recorded since we started tracking it.

GPT Terra Latest API pricingSurge45°
ChargePriceUnitRead onSource
Input$2.00per 1M tokens2026-09-24Check
Output$12.00per 1M tokens2026-09-24Check
What a month costsSurge45°
WorkloadInput / monthOutput / monthCost
A small product team20M tokens5M tokens$100.00
A busy support assistant200M tokens40M tokens$880.00
A document pipeline1000M tokens100M tokens$3,200.00

List API rates, no caching and no batch discount, which both providers offer and which change the answer a great deal. Treat these as the ceiling, not the bill.

07 / specs

Specifications

As listed by the provider's own catalogue and re-read every few hours. Anything absent is absent there too.

SpecificationSurge45°
Context window1,050,000 tokens
Maximum output128,000 tokens
Modalitiesfile, image, text
Released11/09/2026
StatusCurrent
Catalogue identifier~openai/gpt-terra-latest

08 / lineage

Lineage

What this model replaced, what replaced it, and what else its provider has in the field.

Also from OpenAI

09 / line

The line

Every model in this family in release order, so a page from eight months ago says in one glance that two newer ones exist.

Nothing else in this line yet.

A line is worked out from the naming and the release dates across every model page we hold. It fills in as the provider ships successors, or as we pick up the models that came before this one.

How we decide what counts as evidence

10 / notes

Our notes

What this model changes for a brand trying to be cited in AI answers, and every change we have logged since it launched.

Change log

Nothing published here yet. Changes appear within hours of a provider announcing them.

11 / questions

Questions

The things people ask about this model, answered from what is on this page rather than from anywhere else.

What does GPT Terra Latest cost?
$2.00 per million input tokens and $12.00 per million output tokens, as last read from the provider. The cost section works that into a monthly figure.
How current is this page?
The catalogue behind it is re-read every three hours, and the stamp at the top says when it last confirmed. A re-check that finds nothing changed updates that stamp and deliberately does not touch the page’s modified date.
Why are some sections empty?
Because nothing has been published that we can link to. We would rather show an empty section than a number you cannot check. Our methodology sets out what counts.
Surge45°

Is GPT Terra Latest recommending you?

Models change what gets cited. We measure whether AI answers name your brand or your competitors across every assistant, and show you what to change.