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OpenAI · Official-source model record

GPT-4 Turbo Preview

GPT · Version gpt-4-0125-preview

PreviewChecked Oct 23, 2026
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Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.

Coverage & sources ↗

Current catalog answers

What to know about GPT-4 Turbo Preview

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

Which GPT-4 Turbo Preview does this page describe?

GPT-4 Turbo Preview is a model record from OpenAI in the GPT family. Source

The recorded model identifier or checkpoint is gpt-4-0125-preview. Use that exact identifier when checking documentation or a provider listing. Source

How can you access GPT-4 Turbo Preview?

The catalog documents API access for GPT-4 Turbo Preview. Source

As of the catalog check, this version was listed as a preview. Source

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

What are GPT-4 Turbo Preview's context and output limits?

The documented context window is 128,000 tokens. Source

The documented maximum output is 4,096 tokens. Source

Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.

What dates are documented for GPT-4 Turbo Preview?

Knowledge cutoff: December 1, 2023. Source This labels the documented knowledge boundary; it is not a promise that every earlier fact is known or correct.

Retrieval or web tools can supply newer information at run time. That does not change the model's recorded training or knowledge dates, and this record does not establish that a particular endpoint includes those tools.

What can GPT-4 Turbo Preview receive and generate?

Documented inputs: text. Source

Documented outputs: text. Source

Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.

Keep the exact version in view

Other GPT models from OpenAI.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

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GPT-5.4 Mini

API · 400,000 context tokens

GPT-5.4 Pro

API · 1,050,000 context tokens

The documented record

Specifications, with their sources.

A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.

Publisher
OpenAISource ↗
Family
GPTSource ↗
Version
gpt-4-0125-previewSource ↗
Availability
PreviewSource ↗
Access
APISource ↗
Inputs
TextSource ↗
Outputs
TextSource ↗
Context window
128,000 tokensSource ↗
Maximum input
Not documented
Maximum output
4,096 tokensSource ↗
Knowledge cutoff
Dec 1, 2023Knowledge cutoff · day precisionSource ↗
Training-data cutoff
Not documented
Training completed
Not documented
Release date
Not documented
License
Not documented
Input price / 1M tokens
Not documented
Output price / 1M tokens
Not documented
Model identifiers and aliases 1
  • gpt-4-turbo-preview

Follow the evidence

Official sources.

  1. gpt 4 turbo preview — official OpenAI documentation ↗developers.openai.com

From the Headless Thrones newsroom

Editorial about GPT-4 Turbo Preview

No published articles are linked to this exact model yet. New coverage will appear here as it is published.

Your starting point

GPT-4 Turbo Preview

OpenAI · API

Browse all models ↗
Inputs
TextSource ↗
Outputs
TextSource ↗
Context window
128,000 tokensSource ↗
Knowledge cutoff
Dec 1, 2023Knowledge cutoff · day precisionSource ↗

A place to begin comparing

82 models to consider.

Matches must share an access route, support every documented input type of your starting model, and return text. When both publish a context limit in the same field, the candidate must fall between half and twice that limit. Unknown or differently defined limits remain as broader matches, after verified near-context matches. Within each group, recent documented releases appear first. These criteria do not establish equal quality. The full current inventory is considered.

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Amazon

Nova Micro

Text input; text output · Shared access: API · Documented context within ½–2×

Baidu

ernie-4.5-turbo-128k

Text input; text output · Shared access: API · Documented context within ½–2×

Baidu

ernie-4.5-turbo-vl

Text input; text output · Shared access: API · Documented context within ½–2×

Baidu

ernie-5.0

Text input; text output · Shared access: API · Documented context within ½–2×

Baidu

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Text input; text output · Shared access: API · Documented context within ½–2×

Cohere

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Text input; text output · Shared access: API · Documented context within ½–2×

Cohere

c4ai-command-a-03-2025

Text input; text output · Shared access: API · Documented context within ½–2×

Cohere

c4ai-command-r-08-2024

Text input; text output · Shared access: API · Documented context within ½–2×

Cohere

c4ai-command-r-plus-08-2024

Text input; text output · Shared access: API · Documented context within ½–2×

A record you can follow

The source belongs beside the fact.

Official sources

Model records cite the developer’s documentation, release notes and model cards. A listing alone is not a tested service or a recommendation.

Dates mean different things

Knowledge cutoff, training-data cutoff, training completion and release date are separate fields. A model’s name or repository upload date does not establish any of them.

Limits need context

Some publishers use rounded K/M token figures. Deployment, reasoning settings and regional access can change usable limits. Read the source before choosing.

Coverage and last check

Independent editorial model library assembled from primary vendor documentation and official publisher model cards. This is a dated, auditable inventory of the sources reviewed, not a claim to every model worldwide. First-party language-model inventory for OpenAI, Anthropic, Google Gemini/Gemma, xAI, Meta and Reflection. Includes vendor-listed legacy/retired identities with explicit statuses; official pretrained and instruction-tuned checkpoints remain distinct. Excludes embeddings, moderation/guard models, image/audio/video-only generation, community fine-tunes, speculative draft helpers, format/runtime/quantization duplicates, and PaliGemma dataset-specific benchmark fine-tunes. Availability means documented vendor API or downloadable official weights, not guaranteed account eligibility. Unknown specifications and dates remain null. Rounded K/M limits preserve vendor granularity; exact integers are used only where documented. No OpenRouter facts are used. Primary-source inventory of language-capable models from Alibaba/Qwen, DeepSeek, Moonshot, MiniMax, Z.ai, ByteDance Seed, Tencent, Baidu, Xiaomi, StepFun, 01.AI, Shanghai AI Laboratory, Baichuan and OpenBMB. Includes full reachable official public weight inventories plus documented hosted API models and explicit retirements. Embeddings, reward/classifier/router/tokenizer/draft-head components, standalone OCR/document converters and image/video/audio-only generators are excluded; multimodal language models retained. Official packaging variants are folded into aliases where a canonical listing was identifiable; remaining research/base/SFT variants retain exact identities. Not a guarantee every historical/private/regional model is available. Unknown specifications remain null; K/M API display quantities use decimal normalization where explicitly noted, rather than implying verified exact serving ceilings. Model-name dates and repository creation timestamps are never used as release/training dates. Open weights does not mean unrestricted or OSI-open-source licensing. Some model-card bodies were unreachable; their public inventory metadata is retained and disclosed. Official Mistral, Cohere, AI21, NVIDIA Nemotron, Microsoft Phi/MAI, Amazon Nova, IBM Granite, AllenAI OLMo/Molmo, TII Falcon, Nous Research, Arcee and Essential AI model inventory checked 2026-10-23. Includes base, instruction, reasoning, coding and text-producing multimodal models, including legacy API versions. Excludes embeddings/rerankers/reward and safety classifiers, image/audio/video-only generation, robotics-only models, duplicate quantization/runtime packages, adapters, intermediate checkpoint experiments, and third-party mirrors. Arcee coverage focuses on its named product families rather than exploratory merge repositories. Repository listing means listed, not independently verified API availability. K/M figures are nominal decimal normalizations when the source supplies shorthand; deployment-specific exact token limits may differ. Unverified values remain null. This is a source-backed inventory, not a complete claim-level independent editorial review. Supplemental official Liquid AI, Reka and Inception generative language catalog. Excludes media-only generators and decision/classification-only models. No assumed training dates.

Catalog edition updated . Source links are provided on each model record.

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