Skip to content
ModelCap

GPT-4 Turbo Preview

Arena #276No linked weights

OpenAI·#355 of 504 in the all-versions archive

GPT-4 Turbo Preview is a language model from OpenAI. It ranks #355 of 504 in ModelCap's all-versions archive, with an Index score of 29.9, measured on 2 public benchmarks. Its score range of 24.9–34.9 spans positions #316–#380. It reads up to 128K tokens of context, with no downloadable weights linked in the current source data.

Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive
29.9#355
Measured on 2 public benchmarks · range 24.9–34.9
Evidence as of 28 Oct 2026, 00:00 UTC
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Superseded by GPT-4 Turbo.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 #355.

Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
128K
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

No provider is currently serving this model.

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
Release 0125
GPT-4 Turbo Preview (0125)
1313
CI 1309–1317
#27593KLMArena
Match 99%

Other versions (4)

ModelCap Index · All-versions archive

Methodology
29.9
Measured on 2 public benchmarks
All-versions archive
#355 of 504
Score range
24.9–34.9
Rank range
#316–#380
Evidence as of
28 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
62.6% · strong
Identity binding
Exact catalogue product · openai/openai/gpt-4-turbo-preview · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
2
Qualified Index evidence point
29.9
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
29.9
Evidence status
confirmed · 77% mass
General preference
30.3
Coding
27.3
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
63%
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
2.1
  • · 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.

BES evidence selected · measured input only

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.

Deployment readiness

Metadata index
27.2
limited · 37% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
35.0
Evaluation provenance
53.3

Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, a current serving provider, measured provider uptime, published provider pricing, pinned evaluation dataset versions.

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

Status
Ranked
Source
LMArena
Official rank
#276 of 419
Rating
1312.9
95% confidence interval
1309–1317
Votes
100K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

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%
2.1

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

Specification

Model ID
openai/gpt-4-turbo-preview
Context window
128K tokens
Declared output cap
4K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

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

Benchmark leaderboards featuring GPT-4 Turbo Preview

All leaderboards
Public benchmark boards on which GPT-4 Turbo Preview has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13131309–1317#275 of 419Release 012528 Oct 2026
Arena coding leaderboardArena (LMArena)13401333–1348#286 of 414Default28 Oct 2026

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 6 November 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 6 November 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). The snapshot lists a 4,096 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is GPT-4 Turbo Preview open-weight?

No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.

Which benchmarks has GPT-4 Turbo Preview been evaluated on?

GPT-4 Turbo Preview has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1313 (#275 of 419) and Arena coding 1340 (#286 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

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.