OpenAI's new open-weight reasoning model can be run locally on an RTX card but you still need a pret

If you like the premise of AI doing, well something, in your rig, but don't much fancy feeding your information back [[link]] to a data set for future use, a local LLM is likely the answer to your prayers. With OpenAI's latest model, you can do just that, assuming you have the hardware to power it.

Announced in collaboration with , gpt-oss-10b and gpt-oss-120b are both live and available to download via (or via ). You can access a cloud-based demo of it with toggleable reasoning levels via .

What makes these models even more interesting than usual is that they are open-weight. Effectively, weights are a value that determines the connection between neural networks and certain parameters. Training an AI based on information you give it is partially a measure of measuring output, reading the pattern between weights, and with a technique known as backpropagation, setting those weights at middle layers to then propagate weights through different layers.

Getting access to those weights gives you more information on how an AI works and how you can expect it to work given different stimuli. This allows a level of fine-tuned training, which makes sense given it can and will run locally.

Though open-weight models are a bit of a rarity, with OpenAI's last open-weight model being GPT-2 in 2019, DeepSeek models are open-weight. DeepSeek was disruptive for many reasons (like surprise-releasing with an unexpectedly advanced free model), and we put to decide which one was better. We crowned neither the winner.

Both new OpenAI models (gpt-oss-20b and gpt-oss-120b) are open-weight and they are both reasoning models, which effectively 'think' before giving an answer. This is the same sort of model that's said to be behind agentic AI, essentially breaking down broader questions and tasks into a smaller chain. It's worth noting, these models aren't intended to replace GPT-5, OpenAI's upcoming advanced cloud-based version.

Gpt-oss-120b can reportedly run on an 80 GB GPU, and OpenAI reports it offers similar performance to its o4-mini model. This means can run it, but the likelihood of you getting one on your home rig is unlikely.

Gpt-oss-20b, however, can run on a 16 GB GPU, and OpenAI claims it offers similar performance to the o3-mini "on common benchmarks."

You won't be left behind if you're all Team Red either, as AMD CEO and stated, "AMD is proud to be a Day 0 partner enabling these models to run everywhere - across cloud, edge and clients. The power of open models is clear… and this is a big step forward."

The , or any AMD AI CPU with 32 GB [[link]] of memory, can also run the latest 20b model. If you've ever wanted to run a local AI and have power to spare, these new models may be worth playing around with. The AI Max+ 395, with a 128 GB RAM configuration, can run the full-fat 120b model, and we've been playing with it on a new 128 GB desktop machine sporting that chip, and it's certainly impressive.

The release of these open-weight models comes at a particularly interesting time for AI in general, too. Recently, we saw by setting up data centers in tents (data tenters, if you will) to catch up with its competition. If you don't particularly care about the AI machinations of these tech giants (I get it), recently, with Microsoft's going into beta. As well as this, opening up around the world.

AI is worming its [[link]] way into most facets of digital life, and should you want it to make its way into your PC even when you're offline, you now have that option.

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