提案駅のリランク判定と実測スパイクを追加する by TinyKitten · Pull Request #33 · TrainLCD/Functions github.com/TrainLCD/Funct… AIチャット機能の一部にもJevを潜ませてみるゾ
API & Models
Input tokens
The tokens billed on every request: state plus questions, including speculative questions your code ignores.
- Category
- API & Models
- Also known as
- —
- Related terms
- 4
- Directory entries
- 2
- Docs
- docs.typesafe.ai
- Added
- 2026-09-24
Definition
Only input is billed. State and every question count toward the input total, and the response reports input_tokens under usage so cost can be tracked per call.
Because speculative questions cost tokens even when unused, the docs recommend fanning out on questions several branches can reuse rather than on every question a workflow might ever ask.
Tagsapipricing
Related terms
Definitions that connect to this one.
Output tokensThe tokens Jev emits for answers; they are reported in usage and are free of charge.API & ModelsToken pricingJev's published rate: $42 per billion input tokens, with output tokens free.API & ModelsUsageThe response field reporting input and output token counts for a request, used for cost tracking.API & ModelsSpeculative questionA question whose answer only matters on some code paths, asked anyway because questions are cheap and parallel.Patterns
From the directory
The model card for jev-1.13.0: $42 per billion input tokens with free output, a 64k context, 250k tokens per second, and how to list the models your account can call.
Sites & GuidesDocs#official#docs#models
Official
Ask everything the system might need in one request, then let code throw away what it does not use. The ticket-triage example sends a category plus four speculative questions in parallel.
Practices & PatternsDocs#official#patterns#batching
Official
From the community
Posts from builders shipping with Jev right now.
Jev reranks station suggestions in TrainLCD
Vercel's fx safety reviewer, measured at 18× faster
@vercel 's fx uses Jev to review every command. @rauchg says it's up to 18x faster than GPT Luna and more accurate. @JoshARosen built Foreman, where Jev watches coding agents for drift, missed tests and getting stuck. @shantanugoel's Hermes agent installed an "ask Jev" skill on Show more
A game where you race Jev at spotting slop
A small game to show how fast TypeSafe's Jev actually is. Try to beat it at detecting a spam message beatjev2it.jlamberts86.workers.dev
Jev plays itself at 3D chess
got access to jev and instead of doing anything useful i made it play itself at 3D chess same model on both sides, slowly developing beef with itself you can watch jev vs jev or jump in and ruin its day chess-jev.loomens.com
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
dmx.to reshapes the timeline in plain language
the next version of dmx.to will let you fully customize the timeline both with dumb rules (how did i not think of these until now lol) and smart rules using Jev (BYOK also supports vercel gateway) 🤓 you can filter 3 lvls of usefulness, tweet types, topics, etc
GPT and Jev compared live
Built a live tool using @typesafeai JEV ! See live comparison btwn GPT & JEV at gptvsjev.vercel.app Get benchmarks like Money Spent ! Time Taken ! Tokens Used!
