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OpenAI launches GPT-4 Turbo with 128K context and lower prices at DevDay

GPT-4 Turbo at a glance

At its first DevDay, OpenAI previewed GPT-4 Turbo at $10/$30 per 1M tokens with a 128K window, alongside the Assistants API, JSON mode, vision, the DALL·E 3 API and text-to-speech.

What changed with GPT-4 Turbo

At its first developer conference on November 6, 2023, OpenAI previewed GPT-4 Turbo as gpt-4-1106-preview. It had a 128K-token context window, enough for more than 300 pages, knowledge through April 2023, and prices of $0.01 per 1K input and $0.03 per 1K output tokens, three times and two times cheaper than GPT-4.

OpenAI also launched the Assistants API in beta with Code Interpreter, retrieval and function calling, plus JSON mode, parallel function calls, image input via gpt-4-vision-preview, DALL·E 3 in the Images API from $0.04 per image, and text-to-speech from $0.015 per 1K characters. Copyright Shield offered to cover customers' legal costs for copyright claims on generally available features.

GPT-4 Turbo benchmarks and pricing

Values are copied from the linked source on the date shown. They are not IA Compa measurements.

Input price per 1M tokensas of · Source for Input price per 1M tokens: openai.com (opens in a new tab)
$10 ($0.01 per 1K)
Output price per 1M tokensas of · Source for Output price per 1M tokens: openai.com (opens in a new tab)
$30 ($0.03 per 1K)
Context windowas of · Source for Context window: openai.com (opens in a new tab)
128K tokens

How it compares

Other models in the same category that we have covered, using each model's latest recorded value. (Models)

Input price (USD per 1M tokens)lower is better
Output price (USD per 1M tokens)lower is better
Context window (tokens)higher is better

Where to compare GPT-4 Turbo

Independent leaderboards and official resources for comparing this model yourself. Rankings change often; each site shows its own current data.

Why GPT-4 Turbo matters for businesses

For businesses, DevDay turned GPT-4 into a practical platform. Lower prices, long context and reliable JSON made document processing and agent-style automations affordable at scale, and the Assistants API was an early template for the agent tooling that followed.

Sources for this story

  1. Official
  2. Official

Last verified: . IA Compa summarizes public announcements for business readers. We are not affiliated with the companies mentioned. Always confirm details, pricing, and availability with the official source.

  • #llm
  • #openai
  • #gpt-4
  • #devday
  • #long-context
  • #pricing

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