$100 million

The cost of training GPT-4 reportedly surpassed $100 million, as reported by Sam Altman. The news website Semafor spoke with eight sources and came to the conclusion that GPT-4 contains one trillion characteristics.–100 days

According to unverified information leaks, GPT-4 was trained on about 25,000 Nvidia A100 GPUs for 90–100 days [2].$4.6 million

When OpenAI released GPT-3 in 2020, cloud provider Lambda suggested the model—which had 175 million parameters—cost over $4.6 million to train.

Can GPT-4 be trained : At the core of GPT-4's advancement is its transformer-based framework, extensively pre-trained on a vast array of data from the internet and licensed sources and fine-tuned with a blend of human feedback and AI-driven reinforcement learning.

How much does GPT-4 cost to run

For our models with 8k context lengths (e.g. gpt-4 and gpt-4-0314 ), the price is: $30.00 / 1 million prompt token (or $0.03 / 1K prompt tokens) $60.00 / 1 million sampled tokens (or $0.06 / 1K sampled tokens)

How much does GPT-4 cost : GPT-4, OpenAI's most powerful artificial intelligence large language model (LLM), is available through a subscription to ChatGPT Plus, which costs $20 a month.

If you were to train GPT-4, 1.8T params model, On A100, it will take 25k A100s and take 3-5 months. On H100, it will take 8k GPUs and take ~3 months.

25,000 NVIDIA A100 GPUs

Training a super-large language model like GPT-4, with 1.7 trillion parameters and using 13 trillion tokens (word snippets), is a substantial undertaking. OpenAI has revealed that it cost them $100 million and took 100 days, utilizing 25,000 NVIDIA A100 GPUs.

How much does it cost to run GPT-4

ChatGPT API pricing structure

GPT Model	Context Limit	Input Cost (Per 1,000 Tokens)
GPT-4	8k-32k	$0.03 / $0.06
GPT-4 Turbo	128k	$0.01
GPT-3.5	4k-16k	$0.0015 / $0.0005

9. 5. 2024The cost of fine-tuning GPT-3.5 depends on the number of tokens used in the process. Here is a breakdown of the pricing structure: Training cost: $0.0080 per 1K tokens. Input token usage: $0.0030 per 1K tokens.GPT-4 was then fine-tuned using Reinforcement Learning from Human Feedback (RLHF), a division of Machine Learning that includes human inputs as feedback to help the model to solve real-world problems effectively. GPT-4 can process nearly 50 pages of text, a huge jump from GPT-3.5 which could process 7 pages.

You can “train” GPT-4 by using embeddings. Most folks here want to add their knowledge to the model, and assume fine-tuning is how you accomplish this, however embeddings is the direct and most successful route for this.

How much does GPT-4 cost per month : The free tier of ChatGPT is good, but GPT-4, at $20 per month via ChatGPT Plus, can be a good deal smarter and more accurate. GPT-4, OpenAI's most powerful artificial intelligence large language model (LLM), is available through a subscription to ChatGPT Plus, which costs $20 a month.

Is GPT-4 model free : In a livestream on Monday, Mira Murati, chief technology officer of OpenAI, said GPT-4o "brings GPT-4-level intelligence to everything, including our free users." The features will be rolled out over the next few weeks, she said. Paid users will have five times the capacity limit of free users.

Is GPT-4 Turbo cheaper than GPT-4

GPT-4o is 50% cheaper than GPT-4 Turbo, across both input tokens ($5 per million) and output tokens ($15 per million).

OpenAI has also stated that it takes about 6 FLOP (floating-point operations) per parameter per token to train GPT-4. This translates to a total of 133 billion petaFLOP for GPT-4.25,000 Nvidia A100 GPUs

Some key facts about how this enormous model was trained: Used 25,000 Nvidia A100 GPUs simultaneously. Trained continuously for 90–100 days. Total compute required was 2.15e25 floating point operations.

How many H100s to train GPT-4 : Details are below, but at the top-line, we know: GPT-4 is a mixture-of-experts model, with 16 experts of 111B parameters each. It took about 2 x 10^25 FLOPS to train, with 13 trillion token (passes). Estimated pre-training hardware utilization cost of $63 million, using 25,000 A100s almost 100 days to do the training.