OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

wahnfrieden

Not for subscribers though

sandle

Absolutely loving this price war, long live open source models.

xfax

Your move, Anthropic

ComputerGuru

It's a 20% discount on input and a 33% discount on output through at least November 21, 2026; the revised pricing schedule is now Model Input Cached input Cache writes Output gpt-5.6-sol $4.00 $0.40 $5.00 $20.00 gpt-5.6-terra $2.00 $0.20 $2.50 $12.00 gpt-5.6-luna $0.20 $0.02 $0.25 $1.20 So Sol is still 20x Luna, but much more appealing when compared to offerings from Anthropic and others.

badatnames

Using codex every day, in spite of which, I hope some day providers will just start naming their offerings small/medium/large, a bit like we eventually started doing in software testing. Trying to remember what Sol is or why it's better than the other thing is more cognitive effort than I can muster at this point. And that's a sure sign of commoditisation in itself

ex1fm3ta

The Chinese are coming after these greedy-ass frontier labs. Today Xiaomi unveiled it's own inference machine .... I bet it's gonna be cheaper than Nvidia DGX, shipped with open source models that anybody can have at home.

eigenspace

The fact that AI models can be so easily distilled and replicated is such a stroke of luck. 10 or 15 years ago if one had asked me to envision a future where a private company invents artificial intelligence, I'd have thought for sure they'd have a massive moat, be very difficult to catch, and it would create an almost instant monopoly. Rather, it seems that selling intelligence might end up as a race to the bottom. Who woulda thought that just having access to enough textual inputs and outputs and a vaugely similar transformer architecture would be enough to copy-cat rather useful intelligence.

simonw

The "until at least Nov 21st" thing presumably mainly affects teams that pin to GPT-5.6 Sol (maybe after extensive testing) such that they won't be switching to GPT-5.7 or GPT-6 or whatever new model is released between now and November.

ChrisArchitect

[dupe] https://news.ycombinator.com/item?id=49396590

ninjahawk1

Once they make a model better than Fable I’ll be switching to Codex. Their priorities in terms of consumers seem to be better. I do think Anthropic has some solid safety viewpoints, but I don’t necessarily think that either is entirely aligned yet with delivering exactly what humanity needs. Maybe the AI will help align the AI companies when it gets smart enough. That’s the real misalignment I’m concerned about.

AM1010101

50% off at open router is also still applied so it comes out at $2 / $10 per 1M. Feature request for Artificial Analysis, allow us to see these live prices on the pareto. It would amazing to also see what a 25,50,75,100 % utilised subscription costs compared to raw tokens.

yomismoaqui

Thanks to both China & capitalism

Alifatisk

Bummer, this does not affect the weekly usage on Codex through Subscription.

artrockalter

This stacks with the 50% discount in OpenRouter, making it $2/$10. https://openrouter.ai/openai/gpt-5.6-sol

prtmnth

Through OpenRouter you can get Sol for $2 input / $10 output which makes it a really attractive choice amongst frontier models.

throwaway2027

I think this is a move to get people off the subscription and move to API. The weekly usage is still awful altough it seems they're trying to fix it but I'm not hopeful.

rootusrootus

Good timing. I'm not too happy having to pay MAX pricing to even access Fable, and I've had a couple situations where Fable missed things and GPT 5.6-Sol caught it. My needs are modest and I can get by on a $20 OpenAI subscription, so the odds are starting to look increasingly like I'm going to drop Anthropic altogether.

kosolam

Does it mean that subscriptions get more tokens? I’m testing it now for coding instead of claude and it’s very important to understand if I get more due to the price reduction.

blobbers

The top comment on this thread was about AI models being easily distilled being a stroke of luck. This should not be surprising at all. Every new students spends tiny fractions of time learning knowledge that took many lifetimes to discover. This fundamental to the progress of intelligence and understanding. It should not be surprising that AI can be distilled. It's the logical method of training; I would hope that each frontier model is in fact not trained 'from scratch' each time. We should expect future frontier models are simply distilled versions trained by specialist models, the same way humans learn from a series of professors, papers and canonical books on each different subject material. Models like this can be trained incrementally, or a so called Mixture of Experts (MoE).

Ringz

The price difference to Deepseek models (deepseek-v4-flash, deepseek-v4-pro and deepseek-v4-flash-vision-exp) is still significant while the performance difference is not.