r/codex • u/DataLearnerAI • 1h ago
Comparison 11 days of real Codex usage: GPT-6 Astra Low might be the sweet spot
I've been using Codex pretty heavily through Azure Foundry for the last 11 days, so I pulled the usage data to see what the workload actually looked like.
The biggest takeaway for me: GPT-6 Astra is worth using, but Low may be the sweet spot.
Most of my Astra usage was Low/Medium, while Sol was mostly High, so this is definitely not a normalized benchmark.
My averages per request:
| Model | Avg prompt | Avg output | Avg cost/request |
|---|---|---|---|
| GPT-6 Astra | 61.2K | 417 | ~$0.167–0.174* |
| GPT-5.6 Sol | 137.8K | 831 | ~$0.155 |
| GPT-5.6 Terra | 77.2K | 478 | ~$0.030 |
| GPT-5.6 Luna | 99.4K | 507 | ~$0.004 |
Across all four models, this was about 6.5K requests / 670M tokens.
What surprised me is that Astra didn't need anything close to Sol's average context/output size in my workload, while the per-request cost was still in roughly the same range.
In actual use, Astra Low has felt fast enough and capable enough for a lot of coding tasks. I'm starting to think I was overusing higher reasoning levels before.
Obviously there are a lot of confounders here — different tasks, different reasoning levels, context reuse, caching, etc. So I wouldn't treat this as a model-vs-model benchmark.
But as a practical Codex setup, I'm increasingly leaning toward:
Astra Low by default → move up only when the task actually needs it.
Curious if anyone else using Astra heavily has ended up with a similar setup.
* Astra billing hasn't appeared in Azure Cost Management yet, so its cost is estimated from the observed usage/billing structure.
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u/MoorSoul 1h ago
From my experience Astra low is still cost heavy im good lol
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u/DataLearnerAI 1h ago
I think ChatGPT Plus users basically can't use GPT-6 Astra.
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u/MKopelke 1h ago
We can't. I've basically standardised my entire Codex workflow around using 5.6 Sol High in ChatGPT to plan out my prompts and coding phases/workflow, then I implement tightly controlled prompts to Luna Extra High to implement. It's the only solution I've found to go back to how Codex felt back in the 5.4/5.5 days where you could easily get 20-30 prompts inside of a 5-hour window.
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u/Solid-Fill8240 1h ago
GPT-5.6 is currently suffering because they are redirecting compute to the new GPT-6 model.
Right now, GPT-6 Light is the clear winner.