If you're referring to the GPT-3 from 2020, modern open source models five years later are a) better at benchmarks b) much smaller yet still better at said benchmarks c) much, much cheaper/faster due to architectural improvements.
The real hard thing for OpenAI to do is to release an open-weights model that's better/more differentiated than Gemma 3 (at the small scale) or DeepSeek R1 (at the large scale)
If you're referring to the GPT-3 from 2020, modern open source models five years later are a) better at benchmarks b) much smaller yet still better at said benchmarks c) much, much cheaper/faster due to architectural improvements.
The real hard thing for OpenAI to do is to release an open-weights model that's better/more differentiated than Gemma 3 (at the small scale) or DeepSeek R1 (at the large scale)