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TypeSafe AI releases Jev 1.14 with images, box type and 262k token context

TypeSafe AI announced Jev 1.14, the latest version of its System One decision model, now live under the jev‑preview alias. The update adds three experimental “danger zone” features: image input, a new Box question type that returns a normalized bounding box, and an optional long‑context mode that raises token limits to 262 k. TypeSafe notes that none of these features are production‑ready and…

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Key points

  • Jev 1.14 adds image input, Box bounding‑box questions and an optional 262k token context window
  • Images are limited to PNG/JPEG up to 16 MiB and billed as regular input tokens
  • Price stays at $0.042 per million input tokens; output tokens remain free

The model keeps its pricing unchanged at $42 per billion input tokens ($0.042 per million), with output tokens free. By default Jev 1.14 supports 64 k tokens per request and 32 k per question; enabling the long‑context header lifts both limits. Images must be PNG or JPEG, up to 16 MiB each, and are billed as regular input tokens. The Box type always returns four edge values and a confidence score, even when the target is absent, so TypeSafe recommends pairing it with a Noul check. Internal tests showed the Box test caught 30 of 36 cropped targets.

The rollout plan moves jev‑preview to Jev 1.14 now, with jev‑latest pointing to it in a week, while older versions receive deprecation notices. TypeSafe’s claims about multilingual gains and small performance improvements are not backed by public benchmarks.

Full story from MarkTechPost · by Asif RazzaqOpen source ↗

TypeSafe AI Releases Jev 1.14 With Images, Box Type and 262k Context

MarkTechPost · 15 October 2026

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This text was published by MarkTechPost and written by Asif Razzaq. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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