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Posted by tedsanders 4 hours ago

Advancing the price-performance frontier with GPT‑5.6(openai.com)
393 points | 257 commentspage 2
mark_l_watson 1 hour ago|
I prepaid for a ton of DeepSeek v4 flash tokens. When I use them I would like to try purchasing Luna tokens for a while. I like cheap and fast models and since I am retired, if I waste time having to sometimes manually switch to a stronger model, that is OK with me.
wronex 3 hours ago||
What are your use case for these? I’m manly interested in coding where more capability is better - give me a 10x model at 10x the price and I’ll take it. A worse model at very low cost has no appeal to me. At-least not for coding. Translation maybe? OCR?
Yopolo 2 hours ago||
Agentic layer.

Your support bot.

Your research long running bot.

Your SEO Optimizer bot.

Your incident analyser bot.

Your personal assistent bot.

wronex 2 hours ago||
Game play bots (monsters, commanders maybe) would be really cool. But it needs long term support and probably local AI instead.
stri8ted 3 hours ago||
Translation, moderation, classification, guardrails, etc..
pbowyer 1 hour ago||
Friendly reminder that GPT-5.6 in Codex cannot spawn Luna subagents, only Terra [1]

To fix this you currently need to make your own copy of the bundled model catalog [2] and opt Luna into MultiAgent V2.

1. https://github.com/openai/codex/issues/32031

2. https://github.com/openai/codex/issues/32031#issuecomment-51...

efficax 3 hours ago||
"too cheap to meter" and Luna is still more expensive than deepseek-v4 pro
jrflo 2 hours ago|
It's marketing hyperbole, but Luna is more intelligent per dollar than deepseek-v4 pro. Cost means nothing without the associated capability
efficax 2 hours ago||
is it? i don't know how we measure these things, but here's one measurement that says v4 pro is better than luna: https://artificialanalysis.ai/models/comparisons/gpt-5-6-lun...

presumably it's a much bigger model

energy123 2 hours ago||
This has already been updated with the new prices?
pornel 1 hour ago||
The intelligence scores are absolute, not per $.

DeepSeek Pro is more capable than Luna regardless of the cost.

firasd 3 hours ago||
This is one of the things OpenAI has been focused on for an year or so that led to the doomed autoswitcher in ChatGPT .com (switching models based on estimated task complexity) that was quickly reverted

Whereas Google with Gemini 3.x, Anthropic with Fable etc are happy to just go for 'big model with dense params'

It's hard to guess from the outside of course but just this kind of talking points focus on GPU efficacy is what we see from OpenAI and Chinese open source labs more often than from Anthropic or Google Deepmind and this benchmark chart seems to concur

wxw 1 hour ago||
> $0.20 per million input tokens and $1.20 per million output tokens for Luna

This is... ridiculously cheap. Amazing!

andai 3 hours ago||
It says Luna is fastest, but doesn't it take way more steps to get the same job done?

https://deepswe.datacurve.ai/ - (See the Agent Steps view)

Or is the output speed so much higher that it cancels out?

I don't see a lot of benchmarks that record actual time. But on AA, Sol on Low beats Luna on High for Time Per Task.

Phlogi 2 hours ago||
It's a clever strategic move: grab the market of cheap low end models within the product range. It's lower friction to switch a model than a provider.
Pesto 2 hours ago||
I truly wonder what kind of model is luna now.

Before I thought it was just an improved version or at least in the same class as gpt 5.4 mini but now it's being priced like a nano model!

I thought about it because Terra has similar pricing to 5.4 and Sol is similar to 5.5.

Luna was already my workhorse before, it performs very well on high/xhigh for most of the tasks, very happy about this drop.

infinite_spin 1 hour ago|
I've been having issues with it using unreasonable timeouts for tasks that should have failed within minutes, not hours.
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