Theme 1 – Higher cost for modest gains
Commenters note that the latest models from OAI, Anthropic, and Astra are only slightly better but roughly twice as expensive as their predecessors.
- “Both OAI and Anthropic seem to have released a model that is slightly better but cost ~2x the previous iteration.” — ramon156
- “Astra is costlier for the same intelligence tasks as Sol.” — simianwords
- “Larger models are more intelligent and cost more… they don’t publish the size of their models.” — kzrdude
Theme 2 – Doubt about AI code‑review usefulness
Several engineers view AI‑driven review tools as noisy, ineffective, and a crutch for weaker processes.
- “This code review tool has such poor results that it isn’t worth the ‘noise’ and friction it causes developers during C/I code review.” — eyalitki
- “All of these AI code review tools create so much noise, yet don’t catch the really important things.” — stingraycharles
- “Code review tools are designed for less organised dev teams… papering over a lower level of competency without having to invest in actual human oversight.” — jiggawatts
Theme 3 – Practical performance issues (speed, token usage, limits)
Users report that newer models feel slower, consume tokens faster, or hit usage limits sooner.
- “Astra seems to be really slow… definitely slower than 5.6 sol when handling same tasks.” — SneakyZero
- “In the Codex app, it burns the limit much faster.” — Squarex
- “Astra and Sol are the same price when you factor in token efficiency.” — arthurcolle (highlights the token‑efficiency trade‑off).