OpenAI: GPT-5 Nano

Community sentiment

Negative (-62) — 3 positive, 7 negative, 2 neutral across 12 community samples from X and the web, as of 2026-10-02.

Discussion about GPT-5 Nano emphasizes its low cost and usefulness for cheap inference, but many users complain that cheaper decision models undercut its pricing, report availability/compatibility problems, and note recent drops in benchmarked performance. Praise mainly centers on token-cost advantages in specific tasks, while criticism focuses on price competitiveness, reliability, and evaluation

• “Jev refuses to write text. At $0.042 per million input tokens, that undercuts GPT-5 Nano at $0.05. My read: if your agent only needs yes/no or a score, generating text at all was always the waste. I'd bet most classifier bills today are paying for paragraphs nobody ever actually” — X
• “Reviewing a 500-line PR. Cheapest: GPT 5 Nano at $0.002 Most expensive: o1 Pro at $4.050 2025x difference for the same task. https://t.co/PPeJeRrp7I #AIcosts #DevTools https://t.co/eHPn64nPyD” — X
• “@mitsuhiko model catalogue for openai sub is wrong, it advertises: gpt-5-nano, but when you try to use it it won't work.” — X
• “@thenewstack Exactly! If they want cheaper, than make available gpt 5 nano in the input window. Gpt 6 sol is a disaster” — X

RuntimeWire coverage

• Open-weight models surge past closed rivals in Vercel token traffic