Explaining the new AI model "Jev" developed by ChatGPT's

@shota7180 木内翔大＠SHIFT AI代表「日本をAI先進国に」𝕏 · Sep 19, 2026 · case #994037 · listed via Jev Hub

Still from the clip posted with this case; watch it in the original post on X.

Wrote an explainer on Jev covering its speed, cost, free output tokens, and focus on decisions rather than text generation.

The original post, translated

Explaining the new AI model "Jev" developed by ChatGPT's co-developer. ・20-200 times faster than conventional models ・40-400 times lower cost ・Output tokens are free forever ・Specialized in decision-making, not text generation We'll dive deep into this hot topic model ↓

Show the original post in its source language ▾

Explaining the new AI model "Jev" developed by ChatGPT's co-developer. ・20-200 times faster than conventional models ・40-400 times lower cost ・Output tokens are free forever ・Specialized in decision-making, not text generation We'll dive deep into this hot topic model ↓

The post above is a machine translation from ja; the untranslated text is in the fold-out.

Engagement when collected

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under coding & developer tools, classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the coding & developer tools page.

🛠️ Coding & developer tools 🗂️ Classification & data extraction