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For instance, GPT-4, a model from over a year ago, outperformed 91% of humans on a variation of the Alternative Uses Test and scored over 99% in the Torrance Tests of Creative Thinking. Newer models that haven’t yet been evaluated on such tests, such as GPT-4o, will undoubtedly do even better.
With multiple models at your disposal (from the latest o3 and o4-mini models to OpenAI's flagship multimodal GPT-4.1), it can write code, solve complex problems, carry out highly creative tasks, and even provide deep research in a fraction of the time it would take a human. You can see the full list of models here. Want to know more?
mini, o3-pro, and GPT Image 1 are three of OpenAI's latest models. OpenAI models at a glance Model Best for Inputs Outputs Context window Pricing (input / output per M tokens) Notes GPT-4.1 Complex tasks without advanced reasoning Text, Images Text 1,047,576 tokens $2 / $8 Versatile, powerful general model GPT-4.1
Next, select gpt-4o in the Model dropdown, which is a good model for customer-service type tasks. You can leave the remaining fields as-is. Here's how my action step looks with everything mapped: On the Test tab, click Test action to send the prompt over to ChatGPT.
GPT vs. o3 and o4 OpenAI o3 and o4 pricing How to access OpenAI o3 and o4 What are OpenAI o3 and o4? That's why Open AI said it was "resetting the counter back to 1" rather than releasing o1 as GPT-5. GPT-4o has attempted to stick 14, 17, and 20 into this 9x9 Sudoku. Let's dig into what that looks like.
Qwen3-30B-A3B's benchmark performance is about equivalent to GPT-4o and Llama Scout. It has 30 billion total parameters with 3 billion active at any time. It also has a 128K token context length.
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