GPT-4o mini

8 statements across 7 episodes · 5 bullish · 1 bearish · 5 people on the record · first statement Sep 17, 2024 by Michelle Pokrass · said 41 times in 19 episodes since 2024 · across every show →

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brought up most by Shawn Wang (7), Michelle Pokrass (7), Pratik Bhavsar (4), Thomas Paul Mann (3), Elie Bakouch (3), Shreya Shankar (2), Bret Taylor (1), Ankur Goyal (1)

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2025 20 mentions in 11 episodes 2 per episode
2024 21 mentions in 8 episodes 3 per episode

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Everything said about GPT-4o mini, oldest first

Sep 17, 2024 neutral
Assertion Supported
Structured response format is limited to GPT-4o and GPT-4o mini
“Actually, the new response format is only available on two models. It's Foro Mini and the new Foro. So the old Foro doesn't have the new response format. However, for function calling, we were able to enable it for all models that support function calling, and…”
Michelle Pokrass Sep 17, 2024 ▶ 30:23 Building AGI with OpenAI's Structured Outputs API
Sep 20, 2024 positive
Assertion Supported
Swix: Multi-sampling GPT-4o mini before GPT-4o judging yields net savings
“If I call a GP for a mini 10 times and I do a number of drafts or summaries, and then I have four, oh, judge the summaries that actually is net savings and like a good enough savings then running four, oh, on everything, which given the hundreds and thousands …”
Shawn Wang Sep 20, 2024 ▶ 44:23 The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
Oct 4, 2024 bullish
Assertion Supported
Swyx: Distilling GPT-4 to Mini cut costs 15x with 2% hit
“Yeah, I sat in the distillation session just now, and they showed how they distilled from four to four mini, and it was like only like a two percent hit in the performance, and 15 X cheaper.”
Shawn Wang Oct 4, 2024 ▶ 48:14 Building AGI in Real Time (OpenAI Dev Day 2024)
Nov 29, 2024 positive
What-if
Shreya Shankar: GPT-4o Mini reduces DocETL optimization cost by 90%
“The reason it was a hundred dollars, if I ran the optimizer with GPT-Foro mini as the LLMs, it would be 10 dollars. But we use GPT four. Oh, just because I think we did this at a time where many hadn't come out yet.”
Shreya Shankar Nov 29, 2024 ▶ 45:58 [Paper Club] DocETL: Agentic Query Rewriting + Eval for Complex Document Processing w Shreya Shankar
Feb 26, 2025
Disclosure
Raycast built its Ray 1 models by fine-tuning GPT-4o and mini
“And so we looked into all the various models we had and then we picked, at the moment, it's gbd-for-o and gbd-for-o-mini, Which we basically did a fine tune to really optimize for our use case, and then basically shipping that in the app as Ray one and Ray one…”
Thomas Paul Mann Feb 26, 2025 ▶ 8:15 Raycast: Your AI Automation Assistant
Feb 26, 2025 positive
Opinion
OpenAI models remain the industry best for chained function calling
“And so we find like the open AI models function calling wise for our use case. So for the best ones and like, yeah, basically verifying the others. We had a beta group and testing different models. So basically from all providers and yeah, find basically the b…”
Thomas Paul Mann Feb 26, 2025 ▶ 10:21 Raycast: Your AI Automation Assistant
Apr 15, 2025 positive
Assertion Not checkable as stated
GPT-4.1 Mini significantly outperforms 4o Mini, nearing original GPT-4o performance
“4.1 mini is actually quite significantly better than four o mini and not that far away from the old four o.”
Michelle Pokrass Apr 15, 2025 ▶ 32:15 GPT 4.1: The New OpenAI Workhorse
Jul 14, 2025 negative
Opinion
GPT-4o Mini cannot accurately evaluate complex Claude 3.7 outputs
“GPD for a mini can't find, ah, cannot evaluate the hard outputs that's 3.7 might be doing correctly, right?”
Pratik Bhavsar Jul 14, 2025 ▶ 23:12 ⚡️Ranking Agentic LLMs — Pratik Bhavsar, Galileo
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