This 48-hour experience report contrasts with the positive reviews from the Codex community: using GPT-5.6 Luna high in Hermes agent for personal-assistant tasks, the author found it “smart but slow,” prone to repeated iteration, quick to consume quota, occasionally likely to miss explicit instructions, and more conservative in credential and CAPTCHA scenarios. The author's conclusion is that it is better suited to larger coding projects than as the default model for a lightweight personal assistant.
In personal-assistant tasks, the author observed that Luna high often makes 5–6 iterations, while DeepSeek V4 Flash sometimes finishes in one.
The author says Luna consumes more than 20% of the Plus weekly quota each day, compared with about 9–11% for DeepSeek V4 Flash. These are personal-account and personal-workflow figures and should not be extrapolated to API pricing.
Direction-following is inconsistent: existing skills run normally, but the author says Luna occasionally ignores memory, soul directives, or part of a task.
It is more conservative with password and CAPTCHA operations; this is a security boundary and should not simply be treated as a lack of model capability.
Long-context compression appears frequently; the author saw prompts indicating that approximately 319k tokens were approaching the context/output limit.
This article is a useful reminder not to choose a personal-assistant model based solely on coding benchmarks. Luna may offer a price advantage for high-frequency, coding, and verifiable tasks, but in personal-assistant use, tool calls, and long sessions, users should additionally measure completion rate, iteration count, quota consumption, and the rate of safety blocks.
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Thoughts after using GPT 5.6 (Luna) for 48 hours
I've been using hermes agent for about 3 weeks now, and my usage has been mostly as a personal digital assistant: e-mails, package tracking, garden camera analysis, schedules and so on, with the occasional bash/php script creating and linux administration task.
For the past 2 weeks I've been testing different "low-cost" models, like deepseek-v4-flash (xhigh), minimax-m2.7 and many others.
My favorite model has been deepseek-v4-flash, but for the last 2 days I've been daily driving gpt-5.6-luna (high) using a Plus, and here are my findings:
It's smart but slow: It knows how to solve problems, but most times it will go in circles, doing things in small steps instead of doing it fully once. Deepseek will do some things one-shot, while gpt-5.6-luna will think a lot and do 5–6 iterations.
It's much more expensive: I've been using deepseek's model through OllamaCloud subscription, and a full day using hermes agent on deepseek-v4-flash with the occasional bigger model (for vision for example) will use 9-11% of my weekly allowance. With gpt-5.6-luna it's 20%+ per day, so my weekly allowance will be enough for 4–6 days only.
It's not that good at following directions: All my skills would run seamlessly with deepseek or minimax, but with gpt-5.6-luna I had to go back to issues that were fixed days ago (and were explicit at the prompt). It ignores memory and soul directives as well, and sometimes will "forget" to do something, or even ignore part of the task completely.
It's too "correct": It will not insert passwords in the browser (even after explicit authorization of the credentials' owner: me!) and you don't even think about asking for it to click a single captcha.
372k context is not enough?: Been seeing lots of "Pre-API compression: ~319,008 tokens near the context/output limit. Compacting before the next model call." lately.
The verdict is: at this time it's not a good model for me. It's pretty good for coding bigger projects for sure, but for light personal assistant use it's too expensive and dumb/stubborn.
Next week I'll subscribe to opencode's go $5 offer and test mimo-2.5 to let you guys know how it goes.
terra high for me has been the sweet spot. Sol its too much, luna too unpredictable.
It is slow and the password refusals and it silently inserting guardrails into things gets really really annoying. But it’s also like a dog after a bone give it a problem and it will keep going at it until it can fix it. That said I prefer ds4 it just does what I say do with out the push back.
GPT-5.6 Luna
