Is Mapika decider the same product as TypeSafe Jev?

No. Jev is TypeSafe's hosted System One service. Mapika decider is a separate product with its own weights, terms, and ops model unless explicitly documented as compatible HTTP.

Does Mapika decider beat Jev on Decision Index?

The public snapshot in our metrics file scores Mapika decider; compare the facts table to hosted Jev. decider-2B headline scores do not predict MoE checkpoint behavior on your labeled data.

Can I use the TypeSafe SDK with Mapika decider?

Point typesafe_sdk at decider.serve, pin the HF checkpoint name, and verify MoE versus dense response metadata in staging before you cut traffic over.

Should I leave hosted Jev entirely?

Not necessarily. Teams often keep Jev for gates that need vendor support while experimenting with Mapika decider on lower-risk paths. Run shadow mode until metrics prove parity.

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Mapika decider as a Jev alternative

Last verified: 2026-10-12.How we rank

Mapika/decider ships Apache 2.0 code and multiple Hugging Face checkpoints from 2B dense to 35B-A3b MoE. README states no affiliation with TypeSafe and no distillation from hosted Jev. decider.serve and decider.serve_vllm expose POST /v1/systemone.

Standing sections quote JevBench and Decision Index rows as vendor-read leaderboard snapshots. Independent Decision Index scores for decider-2B are lower than Jev in our import, so evaluate on your data before you replace production gates.

jev.aitools.fyi is an independent directory. We are not TypeSafe, Cloudflare, OpenAI, Perplexity, or the makers named on this page unless a listing is marked official.

Catalog listing: decider (brand-focused page; this article is the Jev comparison).

Mapika decider vs Jev at a glance

Topic	Mapika decider	TypeSafe Jev	Source
Maker	Mapika	TypeSafe AI	GitHub: Mapika/decider
First public release	2025 public GitHub and PyPI decider-ai	Hosted System One (ongoing)	GitHub: Mapika/decider
License / access	Apache 2.0	Hosted API (weights not downloadable)	decider README
Hosted price (input)	not published	$0.042 per M input tokens (vendor list, 2026-10-12)	TypeSafe models page (jev-1.13.0 price table)
API shape	POST /v1/systemone via decider.serve	POST /v1/systemone	decider.serve docs; Jev: TypeSafe API reference
Question types	Choice, Score, Noul	Choice, Score, Noul	decider.serve docs
Inputs	JSON state and questions map	Structured state string	decider.serve docs
Model sizes	0.8B through 35B-A3b plus vision variants	Hosted Jev (closed)	Hugging Face: decider-2b
Latency	not published	not published	GitHub: Mapika/decider (no published p95 SLA cited)
Decision Index (public)	25.8 (Decision Index 0.3.1, snapshot 2026-10-10; independent harness, not vendor-only)	60.11 (Decision Index 0.3.1, snapshot 2026-10-10; independent harness, not vendor-only)	Decision Index 0.3.1 public snapshot
Data handling	not published	Processed under TypeSafe terms	Self-hosted data handling not published on a single vendor page
SDKs	TypeSafe SDK with base URL swap; pip install decider-ai	typesafe_sdk, gateways, MCP ecosystem	decider.serve docs
Adoption signal	1,127 GitHub stars (2026-10-12); 331,532 HF downloads (2026-10-12)	not published	GitHub repository (stars) · Hugging Face model card (downloads)

What decider is

Accuracy and benchmarks

Independent Decision Index edition 0.3.1 lists Mapika decider at 25.8 in our imported snapshot.

Fit and tradeoffs

Choose decider when your constraints match its deployment model: You want Qwen 3.5 trained decider weights with public mixture.py; You need vLLM serve for throughput on your cluster; You prefer an independent lineage from Jared Palmer Kev.

Pricing and ops

decider checkpoints range from 2B dense to 35B MoE; size GPUs from the HF card for the variant you pin, not from a smaller demo model.

Migrating from hosted Jev

Keep your question map and threshold logic stable. Swap client configuration to point at the new base URL or SDK, then run shadow traffic until disagreement rates fall below your risk budget.

                // Before: hosted Jev
const client = new TypeSafe({ apiKey: process.env.TYPESAFE_API_KEY });
await client.systemone({ model: "jev-latest", state, questions });

// After: self-hosted System One compatible server (Kev, decider, SemIf, etc.)
const client = new TypeSafe({ baseURL: "http://localhost:8000" });
await client.systemone({ model: "decider-2b", state, questions });

Ecosystem links

Mapika/decider README plus decider.serve docs pair with HF checkpoint cards for each size you evaluate.

Product-specific notes

decider.serve_vllm is the path when you already operate vLLM fleets; decider.serve is lighter for a single-node proof of concept. MoE checkpoints change memory footprints non-linearly; read the HF card for the exact variant before you size GPUs.

Mapika's README explicitly disclaims distillation from hosted Jev, which matters for procurement questionnaires. Vendor README leaderboard snapshots can disagree with independent Decision Index rows; label charts clearly in internal reviews.

Multiple dense and MoE sizes exist; do not assume decider-2B scores predict 35B-A3b behavior on your labels. HTTP compatibility with POST /v1/systemone helps SDK reuse, but you still own auth, TLS, and rate limits on the server you run.

When to choose Mapika decider

You want Qwen 3.5 trained decider weights with public mixture.py
You need vLLM serve for throughput on your cluster
You prefer an independent lineage from Jared Palmer Kev

When to stay on Jev

You do not want to operate calibration CLIs and GPU fleets
Hosted Jev already passes your internal eval without retraining
You need TypeSafe-supported incident response

FAQ

Is Mapika decider the same product as TypeSafe Jev?: No. Jev is TypeSafe's hosted System One service. Mapika decider is a separate product with its own weights, terms, and ops model unless explicitly documented as compatible HTTP.
Does Mapika decider beat Jev on Decision Index?: The public snapshot in our metrics file scores Mapika decider; compare the facts table to hosted Jev. decider-2B headline scores do not predict MoE checkpoint behavior on your labeled data.
Can I use the TypeSafe SDK with Mapika decider?: Point typesafe_sdk at decider.serve, pin the HF checkpoint name, and verify MoE versus dense response metadata in staging before you cut traffic over.
Should I leave hosted Jev entirely?: Not necessarily. Teams often keep Jev for gates that need vendor support while experimenting with Mapika decider on lower-risk paths. Run shadow mode until metrics prove parity.

Other Jev alternatives

Sources

Last verified 2026-10-12. Spotted an error? Contact us.

All Jev alternatives What Jev is