GPT-4 Turbo is the latest language model released by OpenAI to power ChatGPT . It's more powerful multimodal than the previous two language models that were used to power ChatGPT, GPT-4 and GPT-3.5. GPT-4. GPT-4 Turbo combines text and image understanding, making it a versatile tool for various applications. Turbo can accept images as inputs as well as text-to-speech prompts. However, the drop-down menu that ChatGPT Plus has been using to switch between other OpenAI apps like DALLE-3, is being retired. Now, ChatGPT will work out what sort of output you need based on your prompts.
Capabilities
Multimodal: GPT-4 Turbo can accept both text and image inputs, and can generates text as output. Problem Solving: It can handle complex problems with accurately than any of OpenAI's previous models. Optimized for Chat: Like its predecessor, GPT-3.5 Turbo, GPT-4 Turbo is optimized for chat interactions also.
Its Training Process
GPT-4 Turbo follows the transformer-based paradigm. It undergoes pre-training using public data and data licensed from third-party providers to predict the next token. After pre-training, the model is fine-tuned with reinforcement learning feedback from both humans and AI.
GPT-4 Turbo is an upgraded version of GPT-4, offering better performance, multimodal input support, and an extended context window. It's currently available as a preview, with plans for a stable production-ready model in the near future,
Below Key differences between GPT-4 and GPT-4 Turbo
Knowledge Base
GPT-4: GPT-4 has knowledge of events up until April 2023.
GPT-4 Turbo: In contrast, GPT-4 Turbo has an extended knowledge base, including events up until April 2023. This makes it more up-to-date than regular GPT-4.
Input Modalities
GPT-4: GPT-4 accepts text inputs only.
GPT-4 Turbo: GPT-4 Turbo is multimodal, meaning it can accept both text and image inputs. This makes it more versatile for various applications1.
Context Window Token Size
GPT-4: Regular GPT-4 has a context window of 64K tokens.
GPT-4 Turbo: GPT-4 Turbo boasts an enlarged context window of 128K tokens, allowing it to handle prompts equivalent to around 300 pages of text. This extended context helps improve its understanding and responses.
Response and Efficiency
GPT-4: GPT-4 offers advanced capabilities but at the cost of response time and resource intensity.
GPT-4 Turbo: GPT-4 Turbo balances advanced capabilities with faster response times, making it suitable for interactive applications2.
Output Determination
GPT-4: GPT-4 used a drop-down menu to switch between different OpenAI apps.
GPT-4 Turbo: Instead of the drop-down menu, GPT-4 Turbo infers the output type based on your prompts, streamlining the user experience1.
Below are main feature of these GPT
Along with the release of GPT-4 Turbo, OpenAI has also released a new version of GPT-3.5, called GPT-3.5 Turbo. but GPT-4 Turbo is more powerful than the previous two language models that were used to power ChatGPT, GPT-4 and GPT-3.5.
GPT-3.5 => GPT-4 => GPT-4 turbo
GPT-4 Turbo
- Creator : OpenAI
- Trained On Data Up Until : April 2023
- Accessible To : Paying developers (preview)
- Prompt Inputs : Text , Images (stable release), Text-to-Speech
- Context Window : 128,000 token
GPT-4
- Creator : OpenAI
- Trained On Data Up Until : April 2023
- Accessible To : ChatGPT Plus users
- Prompt Inputs : Text , Images
- Context Window : 8,192 tokens (GPT-4) 32,000 tokens (GPT-4-32K)
GPT-3.5
- Creator : OpenAI
- Trained On Data Up Until : January 2022
- Accessible To : All ChatGPT users
- Prompt Inputs : Text
- Context Window : 16,385 tokens (GPT-3.5 turbo-1106) 4,096 tokens (GPT-3.5 turbo)
Availability
GPT turbo API for devevloper
The OpenAI API is powered by a diverse set of models with different capabilities and price points. You can also make customizations to our models for your specific use case with fine-tuning.
For more detail refer OpenAI and here
Pricing
Multiple models, each with different capabilities and price points. Prices can be viewed in units of either per 1M or 1K tokens. You can think of tokens as pieces of words, where 1,000 tokens is about 750 words.
ChatGPT pricing starts with a free tier, using it you can get access to a version of the chatbot running the older GPT-3.5 large language model. additionally, ChatGPT has an Enterprise tier also with on-demand pricing. It also offers access to the ChatGPT API for developers and organizations using a token system. new GPT-4 Turbo model is now much cheaper than its predecessor, GPT-4.
GPT-4 Turbo
Description: GPT-4 Turbo offers 128k context, fresher knowledge, and a broad set of capabilities.
Pricing (per 1M tokens):
Input: $10.00
Output: $30.00
Vision Pricing (for image-based output):
For a 512x512 image, the cost is approximately $0.00255.
Note: Output tokens are priced at $0.03 per 1K tokens1.
GPT-4
Description: GPT-4 can follow complex instructions in natural language and solve difficult problems with accuracy.
Pricing (per 1M tokens):
Input: $30.00
Output: $60.00
Instruct Model (supports 32K context window):
Input: $60.00
Output: $120.00.
GPT-3.5 Turbo
Description: GPT-3.5 Turbo is cost-effective and optimized for dialog.
Pricing (per 1M tokens):
Input: $0.50
Output: $1.50
Instruct Model (supports 4K context window):
Input: $1.50
Output: $2.002.
Check the official OpenAI pricing page for the most up-to-date information for pricing.
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