Sam Altman wrote in February that GPT-4.5 would be "our last non-chain-of-thought model" [1], but GPT-4.1 also does not have internal chain-of-thought [2]. It seems like OpenAI keeps changing its plans. Deprecating GPT-4.5 less than 2 months after introducing it also seems unlikely to be the original plan. Changing plans is necessarily a bad thing, but I wonder why. Did they not expect this model to turn out as well…
Maybe that's why they named this model 4.1, despite coming out after 4.5 and supposedly outperforming it. They can pretend GPT-4.5 is the last non-chain-of-thought model by just giving all non-chain-of-thought-models version numbers below 4.5
GPT-4.1 in the API
281–290 of 513 posts
Re: GPT-4.1 in the API
#2824.1 is 26.6% better at coding than 4.5. Got it. Also…see the em dash
Re: GPT-4.1 in the API
#283Earlier quoted context omitted.
Go look at their past blog posts. OpenAI only ever benchmarks against their own models. This is pretty common across industries. The leader doesn’t compare themselves to the competition.
Okay, it's common across other industries, but not this one. Here is Google, Facebook, and Anthropic comparing their frontier models to others[1][2][3]. [1] https://blog.google/technology/google-deepmind/gemini-model-... [2] https://ai.meta.com/blog/llama-4-multimodal-intelligence/ [3] https://www.anthropic.com/claude/sonnet
Re: GPT-4.1 in the API
#284Numbers for SWE-bench Verified, Aider Polyglot, cost per million output tokens, output tokens per second, and knowledge cutoff month/year: SWE Aider Cost Fast Fresh Claude 3.7 70% 65% $15 77 8/24 Gemini 2.5 64% 69% $10 200 1/25 GPT-4.1 55% 53% $8 169 6/24 DeepSeek R1 49% 57% $2.2 22 7/24 Grok 3 Beta ? 53% $15 ? 11/24 I'm not sure this is really an apples-to-apples comparison as it may involve different test scaffoldi…
https://aider.chat/docs/leaderboards/ shows 73% rather than 69% for Gemini 2.5 Pro? Looks like they also added the cost of the benchmark run to the leaderboard, which is quite cool. Cost per output token is no longer representative of the actual cost when the number of tokens can vary by an order of magnitude for the same problem just based on how many thinking tokens the model is told to use.
Based on some DMs with the Gemini team, they weren't aware that aider supports a "diff-fenced" edit format. And that it is specifically tuned to work well with Gemini models. So they didn't think to try it when they ran the aider benchmarks internally.
Beyond that, I spend significant energy tuning aider to work well with top models. That is in fact the entire reason for aider's benchmark suite: to quantitatively measure and improve how well aider works with LLMs.
Aider makes various adjustments to how it prompts and interacts with most every top model, to provide the very best possible AI coding results.
Re: GPT-4.1 in the API
#285I think an under appreciated reality is that all of the large AI labs and OpenAI in particular are fighting multiple market battles at once. This is coming across in both the number of products and the packaging. 1, to win consumer growth they have continued to benefit on hyper viral moments, lately that was was image generation in 4o, which likely was technically possible a long time before launched. 2, for enterpri…
Re: GPT-4.1 in the API
#286don't miss that OAI also published a prompting guide WITH RECEIPTS for GPT 4.1 specifically for those building agents... with a new recommendation for: - telling the model to be persistent (+20%) - dont self-inject/parse toolcalls (+2%) - prompted planning (+4%) - JSON BAD - use XML or arxiv 2406.13121 (GDM format) - put instructions + user query at TOP -and- BOTTOM - bottom-only is VERY BAD - no evidence that ALL CA…
>- dont self-inject/parse toolcalls (+2%) What is meant by this?
Re: GPT-4.1 in the API
#287Earlier quoted context omitted.
Go look at their past blog posts. OpenAI only ever benchmarks against their own models. This is pretty common across industries. The leader doesn’t compare themselves to the competition.
Except they are far from the lead in model performance
Re: GPT-4.1 in the API
#288 > You're eligible for free daily usage on traffic shared with OpenAI through April 30, 2025.
> Up to 1 million tokens per day across gpt-4.5-preview, gpt-4.1, gpt-4o and o1
> Up to 10 million tokens per day across gpt-4.1-mini, gpt-4.1-nano, gpt-4o-mini, o1-mini and o3-mini
> Usage beyond these limits, as well as usage for other models, will be billed at standard rates. Some limitations apply.
I just found this option in https://platform.openai.com/settings/organization/data-contr...Is just this something I haven't noticed before? Or is this new?
Re: GPT-4.1 in the API
#289Sam Altman wrote in February that GPT-4.5 would be "our last non-chain-of-thought model" [1], but GPT-4.1 also does not have internal chain-of-thought [2]. It seems like OpenAI keeps changing its plans. Deprecating GPT-4.5 less than 2 months after introducing it also seems unlikely to be the original plan. Changing plans is necessarily a bad thing, but I wonder why. Did they not expect this model to turn out as well…
Re: GPT-4.1 in the API
#290Sam Altman wrote in February that GPT-4.5 would be "our last non-chain-of-thought model" [1], but GPT-4.1 also does not have internal chain-of-thought [2]. It seems like OpenAI keeps changing its plans. Deprecating GPT-4.5 less than 2 months after introducing it also seems unlikely to be the original plan. Changing plans is necessarily a bad thing, but I wonder why. Did they not expect this model to turn out as well…
Why do you expect to believe a single word Sam Altman says?