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ModelCap

GPT-4 Turbo Preview

All-versions archive #310API only

OpenAI·openai/gpt-4-turbo-preview

GPT-4 Turbo Preview is ModelCap archive rank #310 (Modeled · succession), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

GPT-4 Turbo Preview has a published context limit of 128K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

GPT-4 Turbo Preview weight access is api only, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive
17.4#310
Estimated · 31% support · score interval 3.9–31.0
No admitted evaluation publication timestamp yet
Market Gravity
7.6
Secondary market signal

Superseded by GPT-4 Turbo. It no longer holds a current-board position; its all-versions archive rank is #310.

Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
128K
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

No provider is currently serving this model.

Other versions (4)

ModelCap Index · All-versions archive

Methodology
17.4
Modeled · succession · calibrated architecture-and-release-era fallback from static public metadata
All-versions archive
#310
Public rank basis
Modeled · succession (architecture)
Index support
31.3% · limited
Index interval
3.9–31.0
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · openai/openai/gpt-4-turbo-preview · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
0
Qualified Index evidence point
17.4
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
17.4 ± 10.6
Independent share
0%
Shrink toward corpus
+9.9
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
publisher-corpus-prior over 203 held-out anchors
53.0 ± 22.722%
Family succession · not independent
opens from measured predecessor openai/gpt-3.5-turbo
7.5 ± 12.078%
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
Liquidity (providers × uptime)
Open reach (HF downloads)
Surface (context / tools / modalities)
45.0
Freshness
2.5
  • · Catalogue: context 128000, tools
  • · First seen 2024-01-25

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
Estimator abstained

insufficient-artifact-metadata

Feature coverage
86%
Training support
207 models · 119 lineages

insufficient-artifact-metadata. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
16.6
insufficient · 19% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
35.0
Evaluation provenance
0.0

Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
7.6
OpenRouter weekly popularity
Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
2.5

Time since first public availability, on a six-month half-life.

Specification

Context window
128K tokens
Max output
4K tokens
Inputs
Text
Outputs
Text
Tokenizer
GPT
Cached input tokens
Not offered
First seen on OpenRouter
25 Jan 2024
Knowledge cutoff
2023-12-31

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Supported: Moderated

GPT-4 Turbo Preview: common questions

How does GPT-4 Turbo Preview rank among AI models?

GPT-4 Turbo Preview is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does GPT-4 Turbo Preview cost per 1M tokens?

No live API price is listed for GPT-4 Turbo Preview in the current snapshot as of 22 September 2026 because no serving endpoint is published. ModelCap shows a price only when a provider currently lists one.

What is the context window of GPT-4 Turbo Preview?

GPT-4 Turbo Preview has a published context window of 128K tokens (128,000) and a maximum output of 4K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is GPT-4 Turbo Preview open-weight?

API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.

When was GPT-4 Turbo Preview released?

GPT-4 Turbo Preview first appeared in the catalogue on 25 Jan 2024, with a published knowledge cutoff of 2023-12-31. It has since been superseded by GPT-4 Turbo. Rank and price movements since then are recorded on the site's changes feed.