DataLearner logo
JE

Jev

PreviewFoundation modelStructured output

Jev

Also known as: jev-latest

Release date: 2026-09-15Views: 0
Live demoGitHubHugging FaceCompare
Parameters
No data
Context length
64K
Multilingual
No data
Reasoning ability
No data

Jev is an AI model published by TypeSafe AI, released on 2026-09-15, for Foundation model, and 64K context length.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Jev

Model basics

Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
64K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
Text → No data
Release date
2026-09-15
Model file size
No data
MoE architecture
No
Total params / Active params
No data / Not applicable
Knowledge cutoff
No data
Jev

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
N/A
Hugging Face
N/A
Jev

Official resources

Paper
DataLearnerAI blog
N/A
Jev

API details

API speed
No data
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
TypeConditionInputOutput
Text-$0.042/ 1M tokens$0.0000/ 1M tokens

“—” means the modality is not billed in that direction, or the vendor has not published a price for it.

Jev

Publisher

Jev

Model Overview

Jev is an AI model published by TypeSafe AI, released on 2026-09-15, for Foundation model, and 64K context length.

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code