has introduced the GPT-4o mini, its latest cost-efficient and small model. The Sam Altman-backed company aims to significantly broaden the range of AI applications by making intelligence more affordable.
The latest model scores 82% on MMLU (Massive Multitask Language Understanding) and currently outperforms GPT-4 on chat preferences in the LMSYS (Language Model Systems) leaderboard. It is priced at $0.15 per million input tokens and $0.60 per million output tokens, making it much more affordable than earlier models and over 60% cheaper than GPT-3.5 Turbo.
MMLU is a benchmark that tests a model’s performance across various subjects. The LMSYS leaderboard ranks AI models based on their performance in various language-related tasks.
“Towards intelligence too cheap to meter: 15 cents per million input tokens, 60 cents per million output tokens, MMLU of 82%, and fast. Most importantly, we think people will really, really like using the new model,” Sam Altman, CEO of OpenAI, posted on X.
<div class="tweet embed" contenteditable="false" id="1813984333352649087" data-id="1813984333352649087" data-url="https://x.com/sama/status/1813984333352649087" data-html="
towards intelligence too cheap to meter:https://t.co/76GEqATfws
15 cents per million input tokens, 60 cents per million output tokens, MMLU of 82%, and fast.
most importantly, we think people will really, really like using the new model.
— Sam Altman (@sama) July 18, 2024
” data-type=”tweet” align=”center”>
towards intelligence too cheap to meter:https://t.co/76GEqATfws
15 cents per million input tokens, 60 cents per million output tokens, MMLU of 82%, and fast.
most importantly, we think people will really, really like using the new model.
— Sam Altman (@sama) July 18, 2024
Starting today, ChatGPT Free, plus, and team users can access GPT-4o mini instead of GPT-3.5. The company said that enterprise users will gain access starting next week.
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“GPT-4o mini enables a broad range of tasks with its low cost and latency, such as applications that chain or parallelize multiple model calls (e.g., calling multiple APIs), pass a large volume of context to the model (e.g., full code base or conversation history), or interact with customers through fast, real-time text responses (e.g., customer support chatbots),” read the company’s blogpost.
GPT-4o mini currently supports text and vision in the API. OpenAI stated that it plans to include support for text, image, video, and audio inputs and outputs. It also outperforms GPT-3.5 Turbo and other small models in both textual intelligence and multimodal reasoning benchmarks.
It supports the same languages as GPT-4o and excels in function calling, enabling developers to create applications that interact with external systems.
Edited by Kanishk Singh
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