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GPT-5-Codex-Mini – A more compact and cost-efficient version of GPT-5-Codex
- vessenes 1y agoLooks like a leak: https://platform.openai.com/docs/models https://platform.openai.com/docs/models does not list it, and codex-mini-latest says that it's based on 4o. I wonder if it will be faster than codex; gpt-5-nano and -mini are still very slow for me on API, surprisingly so.
- ChadNauseam 1y agoI noticed the same thing with -mini. It can be even slower than the full fat version. I'm guessing their infra for it is very cost-optimized to help them offer it at such a low price
- wahnfrieden 1y agoThey also just announced that they’re giving Pro tier prioritized access to Codex models. Are you on Pro? If not you might be getting deprioritized.
- vessenes 1y agoYeah in my mind it was smaller -> faster. But seems like it might be 'a bit smaller and batched' to hit the price target.
- simonw 1y agoThey announced it on Twitter yesterday: https://x.com/OpenAIDevs/status/1986861734619947305 https://x.com/OpenAIDevs/status/1986861734619947305 and https://x.com/OpenAIDevs/status/1986861736041853368 https://x.com/OpenAIDevs/status/1986861736041853368 > GPT-5-Codex-Mini allows roughly 4x more usage than GPT-5-Codex, at a slight capability tradeoff due to the more compact model. > Available in the CLI and IDE extension when you sign in with ChatGPT, with API support coming soon.
- cmdtab 1y agoIf any open AI devs reading this comment section: is it possible for us to get api access at runable.com ?
- bgwalter 1y agoAll "AI" providers cut corners in the models right now because the subsidized cost is unsustainable. Grok's latest update made it far worse than the version right after the Grok-4 release. It makes outright mistakes now. Copilot has cut corners long ago. Google "AI" was always horrible. The whole "AI" experiment was an outrageously expensive IP laundering parlor trick that is meeting economic realities now.
- stavros 1y agoThat's a very long-winded way of saying "it was subsidized so it could capture a large market segment, and now that's stopping", which is what SV companies have done since checks notes forever.
- bgwalter 1y agoAn LLM would have generated four pages on this topic in order to increase the token count! LLMs are advertised for serious applications. I don't recall that CPUs generally hallucinate except for the FDIV bug. Or that AirBnB rents you apartments that don't exist in 30% of all cases. Or that Uber cars drive into a river during 20% of all rides.
- stavros 1y agoAre we talking about economics, or about hallucinations? "CPUs don't hallucinate" would be a reasonable argument if CPUs were an alternative to LLMs, which they aren't, so I'm not really sure what argument you're making there. Seems like you're saying "a calculator makes fewer mistakes than an accountant", which is true, but I still pay an accountant to do my taxes, and not a calculator.
- bgwalter 1y agoI was obviously responding to your "SV companies have been doing that forever". You have introduced the general topic.
- mrdarkies 1y ago[flagged]
- lostmsu 1y agoGPT-5 and GPT-5-Codex are already not clever enough for anything interesting.
- asadm 1y agonot correct. are you using high reasoning? i am using codex everyday.
- pogue 1y agoWhat sort of stuff are you using it for?
- asadm 1y agocomputer vision things these days.
- wahnfrieden 1y agoMedium reportedly uses even higher reasoning than high, when it chooses to. Whereas high is fixed at a high but not as high level.
- jeswin 1y agoWhat's your definition of interesting? I'm half way through writing a typescript to native code translator (via .Net) compiling a large enough subset of current code with a lot of help from GPT5 and Codex CLI. It has completely blown me away. I'd like to give you a concrete example which stood out (from by now, dozens). I wanted d.ts files from the .Net Standard Libs. One immediately obvious problem is that .Net would allow classes/interfaces to be redefined if the generic type arity is different. For example, there can be SomeClass<int> and SomeClass<int, int> which are completely separate. TypeScript of course, wouldn't allow this - you can have one with all types defined, but it'd obviously be a mess. I was stuck with (quite ugly): const users = new List_1<User>(...); instead of const users = new List<User>(...); So GPT comes up with this: declare const __unspecified: unique symbol; type __ = typeof __unspecified; // Your arity-anchored delegates exist elsewhere: // import("internal/System").Action_0 // import("internal/System").Action_1<T1> // import("internal/System").Action_2<T1, T2> // import("internal/System").Action_3<T1, T2, T3> // ... up to 17 export type Action< T1 = __, T2 = __, T3 = __, // ... continue through T17 = __ > = [T1] extends [__] ? import("internal/System").Action_0 : [T2] extends [__] ? import("internal/System").Action_1<T1> : [T3] extends [__] ? import("internal/System").Action_2<T1, T2> : /* next lines follow the same pattern … */ import("internal/System").Action_3<T1, T2, T3>; This lets me write: const a: Action<number> = (n) => {}; // OK (void) const f: Func<number, string> = (s) => 20; // OK (string -> number) A human could come up with this, of course. But doing this at scale (there are many such problems which crop up), would take a lot of effort. Btw I'm using Claude for the grunt work (because its faster), but GPT5 is doing all the architecture/thinking/planning/review.
- simonw 1y agoI managed to get GPT-5-Codex-Mini to draw me a pelican. It's not a very good one! https://static.simonwillison.net/static/2025/codex-hacking-mini.png https://static.simonwillison.net/static/2025/codex-hacking-m... For comparison, here's GPT-5-Codex (not mini) https://static.simonwillison.net/static/2025/codex-hacking-default.png https://static.simonwillison.net/static/2025/codex-hacking-d... and full GPT-5: https://static.simonwillison.net/static/2025/codex-hacking-gpt-5.png https://static.simonwillison.net/static/2025/codex-hacking-g... I had quite a fun time getting those pelicans though... since GPT-5 Codex Mini isn't officially available via API yet I instead had OpenAI's Codex CLI tool extend itself (in Rust) to add a "codex prompt ..." tool which uses their existing custom auth scheme and backend API, then used that to generate the pelicans. Full details here: https://simonwillison.net/2025/Nov/9/gpt-5-codex-mini/ https://simonwillison.net/2025/Nov/9/gpt-5-codex-mini/
- aurareturn 1y agoJust curious, do you think LLM makers are deliberately adding training data for your pelican test by now?
- simonw 1y agoI'll know if they do, because I'll notice that a new model is suspiciously great at drawing pelicans riding bicycles while still sucking at drawing other things.
- RestartKernel 1y agoCan't believe I'm saying this, but GPT-5's pelican is its most impressive improvement over 4o I've seen. I wonder if Codex' MoE does not contain any expert fit for this task due to its fine-tuning on code.
- wahnfrieden 1y agoMake sure you check GPT-5.1’s from a couple days ago
- hnidiots3 1y agoCodex isn’t even a good model.
- k4rli 1y agoIt's been praised here. However in my experience Sonnet4.5 has produced as good if not better results.
- conception 1y agoWhat I discovered is different models are simply just better at different things and it’s very hard to predict which one will be better than the others at a certain task. Thus no one has similar experiences as no one is doing the same things the same way ever.
- 7thpower 1y agoBased on what? It’s been great for me.
- pietz 1y agoSince they also limited the usage of codex CLI quite a bit, this might help. I really like the gpt-5-codex model. It has the most impressive dynamic reasoning effort I've seen. Responding instantly to simple questions while thinking very long when necessary. It's also interesting how close it is in many benchmarks to gpt-5. It's not just a good coding model. It's a great agentic model.