5.3 codex https://openai.com/index/introducing-gpt-5-3-codex/ crushes with a 77.3% in Terminal Bench. The shortest lived lead in less than 35 minutes. What a time to be alive!
Dumb question. Can these benchmarks be trusted when the model performance tends to vary depending on the hours and load on OpenAI’s servers? How do I know I’m not getting a severe penalty for chatting at the wrong time. Or even, are the models best after launch then slowly eroded away at to more economical settings after the hype wears off?
Claude Opus 4.6
481–490 of 1001 posts
Re: Claude Opus 4.6
#482All 7 books come to ~1.75M tokens, so they don't quite fit yet. (At this rate of progress, mid-April should do it ) For now you can fit the first 4 books (~733K tokens).
Results: Opus 4.6 found 49 out of 50 officially documented spells across those 4 books. The only miss was "Slugulus Eructo" (a vomiting spell).
Freaking impressive!
Re: Claude Opus 4.6
#483Earlier quoted context omitted.
Great question, and my guess: If you build React in C++ and Rust, even if the framework is there, you'll likely need to write your components in C++/Rust. That is a difficult problem. There are actually libraries out there that allow you to build web UI with Rust, although they are for web (+ HTML/CSS) and not specifically CLI stuff. So someone needs to create such a library that is properly maintained and such. And…
Opencode wrote their own tui library in zig, and then build a solidjs library on top of that. https://github.com/anomalyco/opentui
Re: Claude Opus 4.6
#484I think two things are getting conflated in this discussion. First: marginal inference cost vs total business profitability. It’s very plausible (and increasingly likely) that OpenAI/Anthropic are profitable on a per-token marginal basis, especially given how cheap equivalent open-weight inference has become. Third-party providers are effectively price-discovering the floor for inference. Second: model lifecycle econ…
Dario said this in a podcast somewhere. The models themselves have so far been profitable if you look at their lifetime costs and revenue. Annual profitability just isn't a very good lens for AI companies because costs all land in one year and the revenue all comes in the next. Prolific AI haters like Ed Zitron make this mistake all the time.
Re: Claude Opus 4.6
#485Earlier quoted context omitted.
Saw a comment earlier today about google seeing a big (50%+) fall in Gemini serving cost per unit across 2025 but can’t find it now. Was either here or on Reddit
From Alphabet 2025 Q4 Earnings call: "As we scale, we’re getting dramatically more efficient. We were able to lower Gemini serving unit costs by 78% over 2025 through model optimizations, efficiency and utilization improvements." https://abc.xyz/investor/events/event-details/2026/2025-Q4-E...
Re: Claude Opus 4.6
#486Re: Claude Opus 4.6
#487Earlier quoted context omitted.
Same with opencode and gemini, it's disgusting Codex (by openai ironically) seems to be the fastest/most-responsive, opens instantly and is written in rust but doesn't contain that many features Claude opens in around 3-4 seconds Opencode opens in 2 seconds Gemini-cli is an abomination which opens in around 16 second for me right now, and in 8 seconds on a fresh install Codex takes 50ms for reference... -- If their m…
Great question, and my guess: If you build React in C++ and Rust, even if the framework is there, you'll likely need to write your components in C++/Rust. That is a difficult problem. There are actually libraries out there that allow you to build web UI with Rust, although they are for web (+ HTML/CSS) and not specifically CLI stuff. So someone needs to create such a library that is properly maintained and such. And…
Re: Claude Opus 4.6
#488Earlier quoted context omitted.
Absolutely. A technically correct bike is very hard to draw in SVG without going overboard in details
Its not. There are thousands of examples on the internet but good SVG sites do have monetary blocks. https://www.freepik.com/free-photos-vectors/bicycle-svg
Re: Claude Opus 4.6
#489Earlier quoted context omitted.
Dumb question. Can these benchmarks be trusted when the model performance tends to vary depending on the hours and load on OpenAI’s servers? How do I know I’m not getting a severe penalty for chatting at the wrong time. Or even, are the models best after launch then slowly eroded away at to more economical settings after the hype wears off?
We don't vary our model quality with time of day or load (beyond negligible non-determinism). It's the same weights all day long with no quantization or other gimmicks. They can get slower under heavy load, though. (I'm from OpenAI.)
Re: Claude Opus 4.6
#490Earlier quoted context omitted.
Also explains why Claude Code is a React app outputting to a Terminal. (Seriously.)
There’s nothing wrong with that, except it lets ai skeptics feel superior