| Maximum output | 32,768 tokens | 65,536 tokens |
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| Knowledge cutoff | Oct 1, 2023 | Oct 1, 2023 |
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| Input | Text | Text |
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| API price per 1M tokens (input / cached / output) | $15 / $7.5 / $60 | $1.1 / $0.55 / $4.4 |
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From OpenAI's API model pages (both models are shut down); they publish no benchmark figures, so no chart is saved. · source
Estimate from the version's published specs, benchmarks and reviews, 0-5; scores are only comparable within one criteria year. Scored for o1-preview, the flagship of this two-model pin, from OpenAI's API model page (opened this run): 128,000-token context = 1; list price $15 input / $60 output per 1M = $26.25 blended at 3:1 = 1; text-only input = 1. o1-mini (same page style: $1.10 / $4.40 on its page, 128,000 context) is not scored separately. Reasoning and coding are null (no Artificial Analysis index at launch or Terminal-Bench figure opened); speed is null. Three independent pages were found: TechCrunch's hands-on first impressions (via Yahoo), The Decoder's roundup of expert reactions, and Epoch AI's independent benchmark page. developers.openai.com
Compared to GPT-4o, the o1 models feel like one step forward and two steps back.
Mollick notes that o1 excels at complex problems requiring planning.
At the time of its release, it ranked 2nd of 71 tracked models.
| First impressions of OpenAI o1: An AI designed to overthink it · Sep 13, 2024 | -0.40 |
|---|---|
| Users share initial reactions to OpenAI's new "o1" AI model · Sep 13, 2024 | 0.40 |
Photos from readers, kept apart from the pin's sourced media. Rate what you ate or saw, and on a restaurant pin tag the dishes right on your photo.
The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.
OpenAI's own model release notes date this entry September 12, 2024
AIandBlockchain's episode "AI's Quantum Leap Unpacking OpenAI's[1] O1 Models" (2024-10-07) says: "a bit unsettling. Join us as we break down the key elements of OpenAI's O1 models, using excerpts from their recently released system card ( September 12th ). We’ll discuss the unique strengths of the O1 Preview and O1 Mini models, highlighting their enhanced ability to handle complex coding tasks, while also"
Archived copy of OpenAI's[1] o1-preview announcement, which says "GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%", o1-preview scored 84 on a jailbreaking test, and o1-mini "is 80% cheaper than o1-preview".
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