# Laya vs Jev

> Compare Convai Laya (open checkpoints, local inference) with hosted Jev. Tradeoffs, latency caveats, benchmarks, Laya-MLX, and when to use both.

Run typed decisions on your own machine, or call hosted System One in the cloud. Same kind of question, very different homework.

Laya is Convai's open-weight family of decision models. You ask Choice, Score, or Noul questions over structured state. One forward pass, no chat essay. TypeSafe Jev is the hosted System One API many teams already plug into agents, gateways, and moderation pipelines. Both help software make judgment calls. They differ in who hosts the GPU, what you can download, and how you pay. This hub is independent writing on jev.aitools.fyi. We are not TypeSafe or Convai. We link primary sources and say plainly when a vendor benchmark is not an independent audit.

## Guides

- [Laya vs Jev: open weights or a hosted API](https://jev.aitools.fyi/learn/laya-vs-jev/compare): Searching Jev vs Laya? Laya is open weights you run yourself. Jev is the hosted decision API. Latency, cost, privacy, and when using both is the sane move.
- [What is Laya?](https://jev.aitools.fyi/learn/laya-vs-jev/what-is-laya): Laya, from Convai Innovations: ModernBERT and mmBERT checkpoints, Router mode, RLCD training, typed questions, and limits from the model card.
- [Laya-MLX on Apple Silicon](https://jev.aitools.fyi/learn/laya-vs-jev/laya-mlx-apple-silicon): Independent laya-mlx port: MLX on M3 Max benchmarks, 7-16 ms short-decision P50, install pointers, parity notes, and caveats vs PyTorch and hosted Jev.
- [Benchmarks and fairness](https://jev.aitools.fyi/learn/laya-vs-jev/benchmarks-and-fairness): Vendor benchmarks, T4 GPU vs hosted API latency, calibration vs accuracy, independent citations, and what jev.aitools.fyi will not claim.
- [Migration and coexistence](https://jev.aitools.fyi/learn/laya-vs-jev/migration-and-coexistence): Local Laya as a pre-filter plus hosted Jev for escalation, with schema mapping, calibration, and ops checks when you leave API-only System One.
- [Privacy, air-gap, and agents](https://jev.aitools.fyi/learn/laya-vs-jev/privacy-and-agents): Air-gapped and on-prem typed decisions with Laya vs hosted Jev agent patterns. Tool routing, MCP, and when open weights beat API keys.

## FAQ

### Is Laya a drop-in replacement for Jev?

No. APIs, context limits, option budgets, calibration, and ops all differ. Laya gives you checkpoints to host. Jev is a managed POST /v1/systemone service with gateway integrations. Many teams run Laya locally for fast gates and Jev where they want hosted scale. See migration-and-coexistence.

### Jev vs Laya: which should you use?

Pick Laya when you need open weights, on-prem or edge inference, and you can run GPUs. Pick hosted Jev when you want a supported API, gateway billing, and large option sets without tuning head budgets yourself. Hybrid stacks are common. Start with the comparison overview in this hub.

### Who makes Laya and who makes Jev?

Laya weights and the upstream Python SDK come from Convai Innovations (Apache 2.0 on Hugging Face). Laya-MLX is a community MLX port for Apple Silicon, not an official Convai release. Jev is TypeSafe's commercial System One product. This directory curates the ecosystem but does not speak for TypeSafe.

### Can I trust latency numbers in blog posts?

Treat them as hints, not promises. Local GPU milliseconds (Laya on T4 or M3 Max) are not the same as end-to-end hosted API latency (network, auth, batching, region). Convai's Hugging Face card cites third-party Jev p50 figures (about 236-276 ms) next to their own Laya GPU times (about 33 ms on T4). Those are different measurement setups. Read benchmarks-and-fairness before you put numbers in an SLA.

### Where is the snake demo with Laya-MLX?

The showcase embeds Lonely__MH's laya-mlx snake clip on Apple Silicon: /showcase?demo=laya-mlx-lonely-mh. It shows a local decision loop. It is not a benchmark certificate.

### Does this site host Laya weights?

No. We link Hugging Face, GitHub, and PyPI. Download and license compliance stay on your side.

Directory copy checked 2026-09-30.
Canonical: https://jev.aitools.fyi/learn/laya-vs-jev