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OpenAI’s GPT-4.1: The AI That Codes Smarter, Faster, and Cheaper · Elon Musk Podcast

• 0:01
  Hey everyone, welcome back to the Elon Musk Podcast.
• 0:05
  I'm thrilled to share some exciting news with you over the
• 0:08
  next two weeks. We're evolving.
• 0:10
  We'll be broadening our focus to cover all the tech Titans
• 0:14
  shaping our world. And with that, our show will
• 0:16
  become Stage 0. You'll still get the latest
• 0:20
  insights on Elon Musk, plus so much more, so stay tuned for our
• 0:25
  official relaunch at Stage 0 coming soon.
• 0:28
  Now let's get into this episode. How much smarter and more useful
• 0:34
  can an AI model really get before it starts coding entire
• 0:38
  applications from scratch, fixing its own bugs, and writing
• 0:41
  its own documentation? Well, Open AI unveiled GBT 4.1,
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  which is a new generation of AI models it claims is faster,
• 0:51
  cheaper, and significantly more capable than anything it's
• 0:54
  released before. But beneath the upgrade numbers
• 0:57
  and benchmark scores lies something more consequential.
• 1:00
  Open AI believes this model and its smaller variants could
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  eventually serve as the backbone of autonomous coding agents, The
• 1:08
  kind of agents that don't just assist software engineers, they
• 1:12
  are the software engineers. Open AI announced the new GPT
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  4.1 family models on Monday, introducing not just the full
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  size version but also scaled down editions called 4.1 Mini
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  and 4.1 Nano. Each one is designed with a
• 1:29
  distinct balance of speed, size, cost, and power.
• 1:33
  These models are available exclusively through Open AI's
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  API, meaning developers integrating them into apps and
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  tools. We'll be the first to see how
• 1:42
  they perform in real world environments.
• 1:45
  GBT users, for now, are left out of the loop, so no prompting on
• 1:50
  openai.com. Now.
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  What's set? What sets GBT 4.1 apart is its
• 1:56
  ability to comprehend massive inputs up to 100 million tokens,
• 2:00
  or 750,000 words, far exceeding what GBT 4 O could process.
• 2:07
  For comparison, that's longer than War and Peace and several
• 2:11
  technical manuals combined. Now.
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  This makes it ideal for tasks requiring an understanding of
• 2:16
  complex and like documents such as legal contracts, software
• 2:20
  repositories or even academic papers.
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  That also makes it more effective in multi turn
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  conversations where earlier context tends to get lost
• 2:30
  internally. Open AI's own testing shows GPD
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  4.1 outperformed GPD 4 O model by 21% in coding related tasks
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  against the earlier GPD 4.5 research preview.
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  GPD 4.1 showed a 27% improvement in the same category.
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  It isn't just about solving more problems though, it's about
• 2:51
  solving them in a cleaner or structured way.
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  GPD 4.1 was specifically refined to avoid unnecessary code edits,
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  follow precise formatting instructions, and respect the
• 3:02
  intended structure of its outputs, including correct
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  ordering and tool usage. And developers who tested
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  earlier models often pointed out that they had to guide the model
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  closely, correct its structure, or deal with inconsistent
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  formatting. GT 4.1, according to Open AI,
• 3:20
  has been tuned to avoid these common frustrations.
• 3:24
  One Open AI representative noted that front end coding tasks, the
• 3:27
  kind that require strict adherence to format and visual
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  consistency, were a top focus of this update.
• 3:34
  But the performance jump isn't just in limited decoding. 4.1's
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  improved ability to follow instructions make it a better
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  choice for powering AI agents, automated systems that perform
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  complex tasks based on natural language commands.
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  Now, whether it's sorting emails, organizing files, or
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  assembling documentation from various sources, GPT 4.1 can
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  manage more intricate tasks and than it ever could before, with
• 4:03
  fewer missteps. It's capacity to comprehend
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  longer context also means it can maintain more coherent and
• 4:10
  consistent actions over time. Now, in line with Open AI's new
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  release, the company will phase out GPT 4.5, which was a preview
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  model, and they're going to do that in July.
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  And the decision seems driven by both cost and performance.
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  GPT 4.1 offers either better or equivalent results, but with
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  considerably lower pricing. The economic argument could be
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  as compelling to developers as the technical upgrades now.
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  Cost is a core element of this launch.
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  The full GPT 4.1 model is priced at $2.00 per million input
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  tokens and $8 per million output tokens.
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  That's a substantial price cut compared to earlier models.
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  The mini version drops to $0.40 per input and 100 or $1.60 for
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  outputs, and the nano built for speed in minimal cost is $0.10
• 5:01
  per million inputs and $0.40 for output tokens.
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  Now this is the most effective, cost efficient model of open EI
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  that it's ever released. However, smaller models trade
• 5:12
  some accuracy for efficiency. GPT 4.1 Nano, for instance,
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  prioritizes speed and affordability, which means it
• 5:21
  may not be the best option for tasks where precision is
• 5:24
  critical. Still, for developers who need
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  fast responses for similar use cases, Nano might offer exactly
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  the right balance. Open AI tested the new models an
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  SWE bench, a popular benchmark for software engineering tasks.
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  The full GPD 4.1 model scored between 52 and 54.6%, and SWE
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  bench verified a human validated subset of the benchmark.
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  That's slightly behind Google's Gemini 4 point or 2.5 Pro, which
• 5:57
  hit 63.8% in Anthropic's Clods 3.7, which reached 62.3.
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  However, Open AI noted that some solutions weren't runnable on
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  their infrastructure, creating variance in scores.
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  Now the release comes amid intensified competition from
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  other AI developers. Google, Anthropic and China
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  based DeepSeek are all chasing similar goals, building models
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  that can perform complex coding tasks by themselves and
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  eventually take over large chunks of software engineering
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  workflows. Which means software engineers
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  will be laid off or fired or find new jobs.
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  Google's Gemini 2.5 Pro and clawed 3.7 sonnet.
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  It both scored well on public benchmarks and include their own
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  long context. Now the future of developers,
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  it's getting a bit more tangible.
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  Instead of having to stitch together multiple tools or tweak
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  outputs by hand, they can begin to rely more heavily on models
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  that understand their intentions, follow instructions
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  precisely, and produce code that's ready to go to
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  production. Now, this could all dramatically
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  change how software is developed and who gets to develop it.
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  Now, if coding agents do become capable enough to handle large
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  projects autonomously, the role of human developers could shift
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  from creators to supervisors and then just an idea generator.
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  It's not a loss though, for these developers.
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  If you have ideas, it's a change in focus.
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  It means more people could build useful software without needing
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  deep engineering experience. But GPT 4.1 isn't perfect, and
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  it's not the end of this journey.
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  But it marks a clear improvement over earlier models in areas
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  that matter most to developers. Cost, reliability, instruction
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  following, and code performance. And for now, it's just a smarter
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  tool. In the near future, it could be
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  the foundation of all code being developed.
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  Now 4.1 is faster, cheaper, and more precise, pushing AI coding
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  tools another step closer to building software all by
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  themselves. Someday you'll have an idea.
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  You'll be able to write it into a prompt, write via software
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  that does XYZ ChatGPT will create the whole software from
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  start to finish, Back end, front end, database, everything in
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  between. That day will come soon and
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  hopefully I'll be around for it because I want to see that
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  happen. My job for the last 20 years has
• 8:39
  been front end web developer and I'm excited about the future of
• 8:42
  GBT 4.1. It's going to be a wild, wild
• 8:47
  ride. Hey, thank you so much for
• 8:51
  listening today. I really do appreciate your
• 8:53
  support. If you could take a second and
• 8:55
  hit the subscribe or the follow button on whatever podcast
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• 9:01
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• 9:11
  support the show even more, go to Atreoncom Stage Zero.
• 9:17
  And please take care of yourselves and each other, and
• 9:20
  I'll see you tomorrow.