description GPT-4 Turbo Overview
OpenAI's GPT-4 Turbo remains a highly capable LLM, offering a balance of performance, accessibility, and cost-effectiveness. While surpassed by newer models in specific areas like context window size, it continues to be a versatile choice for a wide range of applications. Its strong coding abilities and multimodal capabilities (image understanding) make it a valuable tool for developers and creatives. OpenAI's ongoing commitment to safety improvements is a key advantage.
It's a reliable and widely adopted option for many use cases.
help GPT-4 Turbo FAQ
What was GPT-4 Turbo's original context window?
OpenAI announced GPT-4 Turbo at DevDay on November 6, 2023 with a 128k context window. OpenAI described that as enough for more than 300 pages of text in a single prompt.
What model name did developers use for the first GPT-4 Turbo preview?
The first preview model was accessed as `gpt-4-1106-preview` in the API. It later sat alongside other GPT-4 Turbo and GPT-4 class models before newer GPT-4o and GPT-5-era models changed the default choices.
Why did developers choose GPT-4 Turbo over the original GPT-4?
At launch, GPT-4 Turbo was positioned as more capable, cheaper, and able to handle much longer prompts than earlier GPT-4 API models. OpenAI stated the DevDay pricing was $0.01 per 1,000 input tokens and $0.03 per 1,000 output tokens.
Does GPT-4 Turbo support JSON-style application outputs?
Yes. OpenAI announced JSON mode and improved function calling with GPT-4 Turbo, making it useful for structured app responses, extraction tasks, and tool-calling workflows.
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