OpenAI's o1-pro now available via API

Pricing: $150 &#x2F; 1M input tokens, $600 &#x2F; 1M output tokens. (Not a typo.)<p>Very expensive, but I&#x27;ve been using it with my ChatGPT Pro subscription and it&#x27;s remarkably capable. I&#x27;ll give it 100,000 token codebases and it&#x27;ll find nuanced bugs I completely overlooked.<p>(Now I almost feel bad considering the API price vs. the price I pay for the subscription.)

This is their first model to <i>only</i> be available via the new Responses API - if you have code that uses Chat Completions you&#x27;ll need to upgrade to Responses in order to support this.<p>Could take me a while to add support for it to my LLM tool: <a href="https:&#x2F;&#x2F;github.com&#x2F;simonw&#x2F;llm&#x2F;issues&#x2F;839" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;simonw&#x2F;llm&#x2F;issues&#x2F;839</a>

It cost me 94 cents to render a pelican riding a bicycle SVG with this one!<p>Notes and SVG output here: <a href="https:&#x2F;&#x2F;simonwillison.net&#x2F;2025&#x2F;Mar&#x2F;19&#x2F;o1-pro&#x2F;" rel="nofollow">https:&#x2F;&#x2F;simonwillison.net&#x2F;2025&#x2F;Mar&#x2F;19&#x2F;o1-pro&#x2F;</a>

Assuming a highly motivated office worker spends 6 hours per day listening or speaking, at a salary of $160k per year, that works out to a cost of ≈$10k per 1M tokens.<p>OpenAI is now within an order of magnitude of a highly skilled humans with their frontier model pricing. o3 pro may change this but at the same time I don’t think they would have shipped this if o3 was right around the corner.

It has a 2023 knowledge cut-off, and 200k context window... ? That&#x27;s pretty underwhelming.

o1-pro still holds up to every other release, including Grok 3 think and Claude 3.7 think (haven&#x27;t tried Max out though), and that&#x27;s over 3 months ago, practically an eternity in Ai time.<p>Ironic since I was getting ready to cancel my Pro subscription, but 4.5 is too nice for non-coding&#x2F;math tasks.<p>God I can&#x27;t wait for o3 pro.

Those that have tested it and liked it. I feel very confident with Sonnet 3.7 right now,if I would wish for something its it to be faster. Most of the problems I’m facing are like execution problems I just want AI to do it faster than me coding everything on my own.<p>To me it seems like o1-pro would be to be used as a switch-in tool or to double-check your codebase, than a constant coding assistant? (Even with lower price), as I assume I would need to get done a tremendous amount of work including domain knowledge done to come up for the 10x more speed (estimated) of Sonnet?

I have always suspected that the o1-Pro is some kind of workflow on the o1 model. Is it possible that it dispatches to say 8 instances of o1 then do some type of aggregation over the results?

Did not know it was that expensive to run. I&#x27;m going to use it more in my Pro subscription now. I frankly do not notice a huge difference between o1 Pro and o3-mini-high - both fail on the fairly straightforward practical problems I give them.

At first I thought, great, we can add it now to our platform. Now that I have seen the price, I am hesitant enabling the model for the majority of users (except rich enterprises) as they will most certainly shoot themselves in the foot.

&gt; $150&#x2F;Mtok input, $600&#x2F;Mtok output<p>What use case could possibly justify this price?

o1-pro doesn&#x27;t support streaming, so it&#x27;s reasonable to assume that they doing some kind of best-of-n type technique to search over multiple answers.<p>I think you can probably get similar results for a much lower price using llm-consortium. This lets you prompt as many models as you can afford and then chooses or synthesises the best response from all of them. And it can loop until a confidence threshold is reached.

Seems underwhelming when openai&#x27;s best model, o3, was demoed almost 4 months ago.

Deepseek r1 is much better than this.