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Open models by OpenAI

openai.com

11–20 of 909 posts

Re: Open models by OpenAI

#13
So this confirms a best-in-class model release within the next few days?

From a strategic perspective, I can't think of any reason they'd release this unless they were about to announce something which totally eclipses it?

Re: Open models by OpenAI

#14
Disclamer: probably dumb questions

so, the 20b model.

Can someone explain to me what I would need to do in terms of resources (GPU, I assume) if I want to run 20 concurrent processes, assuming I need 1k tokens/second throughput (on each, so 20 x 1k)

Also, is this model better/comparable for information extraction compared to gpt-4.1-nano, and would it be cheaper to host myself 20b?

Re: Open models by OpenAI

#15
post #3

Open weight models from OpenAI with performance comparable to that of o3 and o4-mini in benchmarks… well, I certainly wasn’t expecting that. What’s the catch?

Because GPT-5 comes out later this week?

It could be, but there’s so much hype surrounding the GPT-5 release that I’m not sure whether their internal models will live up to it.

For GPT-5 to dwarf these just-released models in importance, it would have to be a huge step forward, and I’m still doubting about OpenAI’s capabilities and infrastructure to handle demand at the moment.

Re: Open models by OpenAI

#16
Meta's goal with Llama was to target OpenAI with a "scorched earth" approach by releasing powerful open models to disrupt the competitive landscape. Looks like OpenAI is now using the same playbook.

Re: Open models by OpenAI

#19

Disclamer: probably dumb questions so, the 20b model. Can someone explain to me what I would need to do in terms of resources (GPU, I assume) if I want to run 20 concurrent processes, assuming I need 1k tokens/second throughput (on each, so 20 x 1k) Also, is this model better/comparable for information extraction compared to gpt-4.1-nano, and would it be cheaper to host myself 20b?

gpt-oss:20b is ~14GB on disk [1] so fits nicely within a 16GB VRAM card.

[1] https://ollama.com/library/gpt-oss

Re: Open models by OpenAI

#20
I'm disappointed that the smallest model size is 21B parameters, which strongly restricts how it can be run on personal hardware. Most competitors have released a 3B/7B model for that purpose.

For self-hosting, it's smart that they targeted a 16GB VRAM config for it since that's the size of the most cost-effective server GPUs, but I suspect "native MXFP4 quantization" has quality caveats.

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