LLM Reference

GPT-4 Turbo Preview

gpt-4-turbo-preview

DeprecatedResearched 7d ago

Last refreshed 2026-05-19. Next refresh: weekly.

ProprietaryCodingRAGAgentsLong contextVisionClassificationJSON / Tool use

GPT-4 Turbo Preview is a legacy integration reference; evaluate GPT-4.1 before starting new work.

Decision context: Coding task fit, 3 tracked provider routes, and research from 2026-05-19.

Use it for

  • Teams maintaining an existing integration
  • Workloads that can use a 128K context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • New production launches

Cheapest output

$30.00

OpenAI API per 1M tokens

Provider routes

3

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-05-19

Researched 7d ago

fresh

This API model is marked deprecated. Use GPT-4.1 as the replacement candidate before sending new production traffic.

Top use-case fit

Coding

Included by capability and metadata signals in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 3
ProviderInput / 1MOutput / 1MBatch in / outRoute
OpenAI API$10.00$30.00$5.00 / $15.00
Serverless
OpenRouter$10.00$30.00-
Serverless

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

GPT-4 Turbo Preview is OpenAI's GPT-4 model. It is deprecated (originally released 2023-11-06); use it only for reproducing earlier results or evaluating drift over time.

GPT-4 Turbo Preview has a 128K-token context window.

GPT-4 Turbo Preview input tokens at $10/1M, output at $30/1M.

Capabilities

VisionStructured OutputsCode Execution

API Versions

gpt-4-turbo-1106-previewgpt-4-turbo-0125-previewgpt-4-turbo-preview

Rankings

Show all 26 popular comparisonssorted by 7-day search impressions

Specifications

FamilyGPT-4
Released2023-11-06
Parameters1.76T (8x222B MoE)*
Context128K
ArchitectureMixture of Experts
Knowledge cutoff2023-12
Specializationgeneral
LicenseProprietary
Trainingfinetuned

Created by

Cutting-edge research and development.

San Francisco, California, United States
Founded 2015
Website