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
Channel
Estimate
Share
Publisher corpus prior · not independent
publisher-corpus-prior over 203 held-out anchors
53.0 ± 22.7
22%
Family succession · not independent
opens from measured predecessor openai/gpt-3.5-turbo
7.5 ± 12.0
78%
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.
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.