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# random
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Some preliminary numbers for the O3-mini -- the first run on SWE-Bench Verified give us 229/500, about 45.8%. Pretty close to sonnet, and the cost per run is $295.83, which is also similar but slightly cheaper than claude sonnet ($388.03). Their official number is evaluated by running the agent 4 times and taking the pass@1 (because you can't set temperature for reasoning models to control the randomness here) -- so more eval is still running to get a final good estimate of its performance. But one thing we can be sure of for now: "It performs similarly to Claude and costs slightly less" - we will definitely make this our optional model. And it also makes "using mixture of models to work at the same time to get better performance/lower cost" more important in our roadmap
Okay official result for o3-mini after 4 runs.. The cost for 4 runs is about 1257.39, which means 314.35 on average per run. So, conclusion: cost slightly less than sonnet and performs slightly worse 🙂
each llm call on avg is about 3x slower than sonnet (23 seconds vs. 7 seconds)
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I am surprised that it actually did so well on the OH, and my guess is it just for it being absolutely brilliant on the first steps.