gpt-4-turbo
OpenAIfamily · GPT 4developers.openai.com/api/docs/models/gpt-4-turb
An older high-intelligence GPT model
Updated 3 h ago · first seen 11 Sept 2026
model_01M293V78EZ5GGAG4SCH12VTN2
Overview
Identity
- Canonical model
- Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- None recorded — closed weightsofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
- Artifacts
- None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
- Provider deployments
- 2
- API aliases
- gpt-4-turboopenai/gpt-4-turboIdentifiers under which providers and evaluators refer to this model.
- Folded evaluation variants
- 0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.
Openness
Closed / proprietary— weights not available; 7 dimensions unknown.
Weights are not available; the model is reachable only through an API or a product.
Weights
No
Inference code
—
Training code
—
Training data
—
Dataset
—
Commercial use
—
Redistribution
—
Derivatives
—
dimensions marked null are unknown, not false
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Status
Source:OpenAI Platform docsT1observed 13 h agohigh
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Deprecation date
Source:OpenAI Platform docsT1observed 13 h agohigh
- Retirement date
Source:OpenAI Platform docsT1observed 13 h agohigh
- Official page
Source:OpenAI Platform docsT1observed 13 h agohigh
- API model id
Source:OpenAI Platform docsT1observed 13 h agohigh
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Architecture
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Capabilities
Modalities
- Modalities
- imagetext
- Input
- imagetext
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
No
Artificial Analysis · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Benchmarks4
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 4 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →
Providers & Pricing5
All offers in the price terminal →USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →
Price history
Output price · USD / 1M tokens 2 providers
- OpenAI API
- OpenRouter
- OpenRouter$30 → $1512 Sept 2026
- OpenRouterfirst observed $3012 Sept 2026
- OpenAI API$30 → $1511 Sept 2026
- OpenAI APIfirst observed $3011 Sept 2026
Input price · USD / 1M tokens 2 providers
- OpenAI API
- OpenRouter
- OpenRouter$10 → $512 Sept 2026
- OpenRouterfirst observed $1012 Sept 2026
- OpenAI API$10 → $511 Sept 2026
- OpenAI APIfirst observed $1011 Sept 2026
Versions & Artifacts0
Version history
Context windowfirst observation only
11 Sept 2026current
Knowledge cutofffirst observation only
11 Sept 2026current
Max outputfirst observation only
11 Sept 2026current
Opennessfirst observation only
11 Sept 2026current
Statusfirst observation only
11 Sept 2026current
Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Timeline4
Full timeline →OpenRouter lists gpt-4-turbo at $5 in / $15 out per 1M tokens
openrouterOpenRouter lists gpt-4-turbo at $10 in / $30 out per 1M tokens
openroutergpt-4-turbo scores 3.13% on Humanity's Last Exam
artificial_analysisgpt-4-turbo scores 7.04 on Artificial Analysis Intelligence Index
artificial_analysis
Change history29
Viewing AI Atlas as of 1 Jan 2025 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →gpt-4-turbo was not yet in AI Atlas on 1 Jan 2025
Release daterelease_date1
Statusstatus1
Opennessopenness1
Context windowcontext_length1
Max outputmax_output_tokens1
Knowledge cutoffknowledge_cutoff1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Tokenizertokenizer1
API model idapi_model_id1
Deprecation datedeprecation_date1
Retirement dateretirement_date1
Retirement tentativeretirement_tentative1
Official pageofficial_url1
Aa context windowaa_context_window1
Aa deprecatedaa_deprecated1
Aa opennessaa_openness1
Descriptiondescription1
Aa median output tokens per secondmetric.aa_median_output_tokens_per_second2
Openrouter idopenrouter_id1
Openrouter listed atopenrouter_listed_at1
Reasoningreasoning1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Visionvision1
Weights availableweights_available1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
29
Source tiers
T1T28 / 21
Freshest observation
3 h ago
Conflicts
None
Source documents 5
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (74/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →