Models / OpenAI/ GPT-4 Turbo Preview

GPT-4 Turbo Preview

OpenAI · released Jan 25, 2024

Input: text. Output: text.InputOutput
Type
Closed
Input
$10.00
Output
$30.00
Cached
None held

List price · per 1M tokens · OpenAI at 128K context · machine-readable source ↗

Our take

Written Sep 4, 2026

GPT-4 Turbo Preview is a hosted-only text model from OpenAI with a 128,000-token request limit, released in early 2024. It is positioned for long-document work within the OpenAI ecosystem, though no independent quality scores are available to verify its performance.

Who should pick it

Choose this when you need a very large request limit for long documents and are already committed to OpenAI's platform. It suits workflows where budget is secondary to ecosystem continuity. Skip it if you need image, audio or video handling, if you want measured quality data to justify the cost, or if price sensitivity matters.

The case for it

  • 128,000-token request limit — among the largest we list for this generation, useful for long-document work.
  • Available through two tracked providers, including direct from OpenAI.

The case against it

  • No benchmark scores in our data: chat, reasoning, coding and multimodal performance are all unverified.
  • Premium pricing without independent quality verification — the same tier as OpenAI's flagship, but no scores held to justify it.
  • Text-only; no image, audio or video input or output.
00

How good is it?

We hold no score for this model.

So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.

Where these scores come from →

01

Where to rent it

Prices checked between 9 days and 17 days ago — each listing carries its own date.

Cheapest published offer

OpenAI, direct

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts OpenAI on 128K of context.

per 1M tokens
$10.00 in / $30.00 out
Context served
128K
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$10.00 / $30.00checked 17 days ago128Knot measuredUnknownUnknownUnknown
OpenAIDirect$10.00 / $30.00checked 9 days ago128K4K max replynot measuredNoYesunknown periodUnknown

Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✓✓✓
OpenAIDirect✓✓✓

Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.

02

When we formed this view

Recent changes

Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Jan 25, 2024AnnouncedGPT-4 Turbo Preview announced by OpenAI

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • No independent board has scored it, so we hold no quality figures at all.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 2 listings does not say whether it trains on prompts.
  • We hold no cached-input rate for any of its listings.
  • We hold no batch or off-peak rate for any of its listings.
03

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text in, text out
Catalogue slug
openai-gpt-4-turbo-preview

Machine-readable model card (omc.json) →

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