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ModelCap

GPT-4 Turbo

Arena #256No linked weights6.9d #217 → #226

OpenAI·#226 of 352 on the current board·cheaper than #68 o3 Pro

GPT-4 Turbo is a language model from OpenAI. It ranks #226 of 352 on ModelCap's current board, with an Index score of 32.0, measured on 2 public benchmarks. Its score range of 27.0–37.0 spans positions #189–#251. It is listed at $5.00 per million input tokens and $15.00 per million output tokens from one provider. It reads up to 128K tokens of context, with no downloadable weights linked in the current source data.

Figures as of 6 Nov 2026, 20:32 UTC · download the public dataset · methodology

ModelCap Index · Current board
32.0#226
Measured on 2 public benchmarks · range 27.0–37.0
Evidence as of 28 Oct 2026, 00:00 UTC
Market Gravity
16.3
Secondary market signal
Input
$5.00
per 1M tokens
Output
$15.00
per 1M tokens
Context
128K
tokens
Providers
1
endpoint

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
OpenAI$5.00$15.00128K——

Other versions (4)

ModelCap Index · Current board

Methodology
32.0
Measured on 2 public benchmarks
Current board
#226 of 352
Score range
27.0–37.0
Rank range
#189–#251
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
62.7% · strong
Identity binding
Exact catalogue product · openai/openai/gpt-4-turbo · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
2
Qualified Index evidence point
32.0
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
32.0
Evidence status
confirmed · 77% mass
General preference
32.4
Coding
29.0
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
0.2
Liquidity (providers × uptime)
34.4
Open reach (HF downloads)
—
Surface (context / tools / modalities)
60.0
Freshness
2.8
  • · OpenRouter popularity #335
  • · 1 live provider
  • · Catalogue: context 128000, tools, modalities Text/Image
  • · First seen 2024-04-09

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
34.7
limited · 50% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
60.0
Evaluation provenance
53.4

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, measured provider uptime, 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
16.3
OpenRouter weekly popularity
#335 of 339

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
#256 of 419
Rating
1324.5
95% confidence interval
1321–1328
Votes
98K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
0.2

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
34.4

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%
2.8

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

Specification

Model ID
openai/gpt-4-turbo
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, Image
Outputs
Text
Tokenizer
GPT
Cached input tokens
Not offered
First seen on OpenRouter
9 Apr 2024
Knowledge cutoff
2023-12-31

Capabilities

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

Compare GPT-4 Turbo with

Pick any model

Benchmark leaderboards featuring GPT-4 Turbo

All leaderboards
Public benchmark boards on which GPT-4 Turbo has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13251321–1328#256 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)13471340–1354#277 of 414Default28 Oct 2026

Alternatives to GPT-4 Turbo, by the numbers

Ranked neighbours

Models within 3 places of #226 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked OpenAI models

The same publisher's other current models with a public Index position.

GPT-4 Turbo: common questions

How does GPT-4 Turbo rank among AI models?

GPT-4 Turbo holds ModelCap Index position #226 of 352 ranked language models as of 6 November 2026, with an Index score of 32.0 (interval 27.0–37.0); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

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

GPT-4 Turbo is listed at $5.00 per 1M input tokens and $15.00 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $17.50 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of GPT-4 Turbo?

GPT-4 Turbo 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 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 API providers serve GPT-4 Turbo?

One provider serves GPT-4 Turbo through OpenRouter as of 6 November 2026: OpenAI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has GPT-4 Turbo been evaluated on?

GPT-4 Turbo has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1325 (#256 of 419) and Arena coding 1347 (#277 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.

How does GPT-4 Turbo compare with gpt-oss-20b?

GPT-4 Turbo ranks #226 (Index 32.0) and gpt-oss-20b ranks #228 (Index 31.6) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was GPT-4 Turbo released?

GPT-4 Turbo first appeared in the catalogue on 9 Apr 2024, with a published knowledge cutoff of 2023-12-31. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.