This is the application for the 200$ gpt-5.4 subscription. These are the repos and projects below on what i am working for hive:
a) Denser - hive-engine (Infrastructure) [Open-Source] (https://gitlab.syncad.com/hive/denser/-/tree/denser/custom-he-token-workflow?ref_type=heads)
This is a simple way for tribes on hive-engine to get an up to date frontend for their tokens. It covers all the curation tokens that use Scot bot or outpost.
b) Valueplan Metrics (Tracking)[Open-Source] (https://gitlab.syncad.com/hive/metrics-portal)
I am maintaining https://promote.hive.io/metrics/onboarding/onboarderretention?year=2025
which initially started out as a metric tracker for valueplan and then expanded into tons of different chain metrics. This is open source, want to use codex to get rid of tech debt, and complete 2025 data (user retention) and then automate 2026 data with cron jobs.
c) Astral Wars (Game) (https://play.google.com/store/apps/details?id=com.SurgentGaming.AstralWars&hl=en)
This is our game that posts all its activities from the game to https://hivehub.dev/@aw-activities
regardless if the user has a hive account or not. We want to keep building on it so the subscription is useful for it.
d) Astral Revelations (Game)
This is our flagship game (tactics-style rpg) that is being built for mobile and pc platform. A lot of the models have been completed, and now we want to take the time to code this out properly so that it will bring more web2 users to hive.
Why GPT 5.4 and not claude? Claude's tooling is worth it.
I have used both, used my own tracker to track tokens used, and I saw Claude using twice the tokens to accomplish the same complex task codex had.
Claude was slightly faster, though.
Why does this matter? For me, who is coding apps not so much, but if I went through the route of building an app that uses pay-per-use for potential customers I wouldn't touch Sonnet, but would settle with either kimi or gpt nano models as they have the best price per million tokens used. Though again gpt is slower but less system tokens used.
I think part of the reason that claude has better output is that it takes in more as an input(ex reading more of your code so more tokens used). Whats the token limit with gpt5?
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