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  2. GPT-4o - Wikipedia

    en.wikipedia.org/wiki/GPT-4o

    [6] [7] GPT-4o scored 88.7 on the Massive Multitask Language Understanding benchmark compared to 86.5 for GPT-4. [8] Unlike GPT-3.5 and GPT-4, which rely on other models to process sound, GPT-4o natively supports voice-to-voice. [8] The Advanced Voice Mode was delayed and finally released to ChatGPT Plus and Team subscribers in September 2024. [9]

  3. OpenAI unveils cheaper small AI model GPT-4o mini - AOL

    www.aol.com/news/openai-unveils-cheaper-small-ai...

    Priced at 15 cents per million input tokens and 60 cents per million output tokens, the GPT-4o mini is more than 60% cheaper than GPT-3.5 Turbo, OpenAI said. MMLU is a textual intelligence and ...

  4. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    GPT-4o is free to all users within a usage limit, despite being more capable than the older model GPT-4, which is only available through paid subscriptions. The usage limit is five times higher for ChatGPT Plus subscribers than for free users. [101] On July 18, 2024, OpenAI released GPT-4o mini, a smaller version of GPT-4o replacing GPT-3.5 ...

  5. Sam Altman says ChatGPT 4o is the 'best search product ... - AOL

    www.aol.com/sam-altman-says-chatgpt-4o-214928677...

    Sam Altman says OpenAI's ChatGPT 4o is the "best search product on the web." Altman had a cheeky exchange Saturday with Aravind Srinivas, CEO of AI search startup Perplexity. Altman added that ...

  6. OpenAI Announces a Customizable ChatGPT and More ... - AOL

    www.aol.com/news/openai-announces-customizable...

    At a developer conference in San Francisco, the company also announced a new, more powerful model of GPT-4 and slashed prices. OpenAI Announces a Customizable ChatGPT and More Powerful, Cheaper ...

  7. OpenAI o3 - Wikipedia

    en.wikipedia.org/wiki/OpenAI_o3

    Reinforcement learning was used to teach o3 to "think" before generating answers, using what OpenAI refers to as a "private chain of thought". [10] This approach enables the model to plan ahead and reason through tasks, performing a series of intermediate reasoning steps to assist in solving the problem, at the cost of additional computing power and increased latency of responses.