GPT-5.4 Thinking delivers deeper web research, stronger context retention on long tasks, and 33% fewer factual errors than its predecessor. You can now interrupt the model mid-response and redirect it. No need to start over. Same intelligence. More control. Less token burn by default.
This is OpenAI's most capable reasoning model yet and it's not just an incremental bump. GPT-5.4 merges the coding power of GPT-5.3-Codex with serious knowledge work and native computer-use capabilities into one model. Less back and forth, more actual output.
What stands out:
-Native computer use: the model can operate a desktop, click, type, navigate apps
-Matches or beats industry professionals on 83% of real-world knowledge tasks (GDPval)
-33% fewer factual errors compared to GPT-5.2
-Tool search cuts token usage by 47% in large tool ecosystems
-1M context window support in Codex
-Significantly better at spreadsheets, presentations, and documents
It's not trying to wow you with a feature list. It's trying to actually finish the work you give it. Faster, with fewer mistakes, and with less hand-holding.
The computer use benchmark result alone (75% on OSWorld-Verified, surpassing human performance at 72.4%) is the kind of number that makes you stop and think.
Follow me on Product Hunt to stay on top of the biggest launches in AI: @byalexai
The mid-response interrupt is the feature I didn't know I needed until I spent way too many tokens watching a model confidently go down the wrong path before I could stop it. That alone changes how I use this in workflows where context shifts mid-task. The 33% fewer factual errors claim is bold — curious how that holds up on domain-specific prompts versus general knowledge, because that gap tends to widen fast in niche areas. The efficiency angle is smart positioning too; token cost is a real friction point for anyone building on top of these APIs at scale.
First fix Codex pls it's not yet in the range of Claude, and you guys are very non-transparent about token usage - suddenly my weekly usage % dropped
Reasoning at a 5.4 scale is a leap,,, but it still operates within a policy-governed sandbox... The real challenge isn't just thinking,,it's achieving architectural sovereignty where the logic doesn't depend on a centralized kill-switch. Infrastructure Independence (II) is the next layer these models must solve
I find it a little funny that the headline reads “less tokens, more clarity” when, grammatically speaking, it should be “fewer tokens”, not “less”… a small error, to be certain, but pretty emblematic of everything I don’t like about ChatGPT/OpenAI… how you do anything = how you do everything. 🤷♂️
Built my entire product, Fillix, an AI job application automation tool, on OpenAI's API. The reliability and speed of the models is what makes real-time form-filling actually viable. Structured outputs changed the game for us. Keep shipping
Impressive numbers! Though benchmarking against your own previous models is a bit like winning a race you organized, against yourself. Would love to see how it stacks up against the rest of the field. Either way, excited to try it in Codex!
The mid-response interruption feature is honestly what I've been waiting for. So many times I realize halfway through a response that I asked the wrong thing and just have to sit there watching tokens burn. 33% fewer factual errors is a big claim too, curious how that holds up on more niche technical domains.
About GPT‑5.4 on Product Hunt
“OpenAI's most efficient model: less tokens, more clarity”
GPT‑5.4 launched on Product Hunt on March 6th, 2026 and earned 486 upvotes and 12 comments, earning #1 Product of the Day. GPT-5.4 Thinking delivers deeper web research, stronger context retention on long tasks, and 33% fewer factual errors than its predecessor. You can now interrupt the model mid-response and redirect it. No need to start over. Same intelligence. More control. Less token burn by default.
GPT‑5.4 was featured in Productivity (649.7k followers), Developer Tools (511k followers) and Artificial Intelligence (466.1k followers) on Product Hunt. Together, these topics include over 278.6k products, making this a competitive space to launch in.
Who hunted GPT‑5.4?
GPT‑5.4 was hunted by Aleksandar Blazhev. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how GPT‑5.4 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Aleksandar Blazhev
Excited to hunt GPT-5.4 today!
This is OpenAI's most capable reasoning model yet and it's not just an incremental bump. GPT-5.4 merges the coding power of GPT-5.3-Codex with serious knowledge work and native computer-use capabilities into one model. Less back and forth, more actual output.
What stands out:
-Native computer use: the model can operate a desktop, click, type, navigate apps
-Matches or beats industry professionals on 83% of real-world knowledge tasks (GDPval)
-33% fewer factual errors compared to GPT-5.2
-Tool search cuts token usage by 47% in large tool ecosystems
-1M context window support in Codex
-Significantly better at spreadsheets, presentations, and documents
It's not trying to wow you with a feature list. It's trying to actually finish the work you give it. Faster, with fewer mistakes, and with less hand-holding.
The computer use benchmark result alone (75% on OSWorld-Verified, surpassing human performance at 72.4%) is the kind of number that makes you stop and think.
Follow me on Product Hunt to stay on top of the biggest launches in AI: @byalexai