What is Perplexity Decisions API?

A decision API on model pplx-decider-v1-27b. Handles noul/choice/score question types, 1–128 questions per call, images via base64 data URLs, input under 262,144 tokens. Generally available with documented API and pricing ($0.04/M input, output free).

How is Jev different from Perplexity Decisions?

Jev is text-only, $0.042/M input (output free), closed weights, madewithjev proof builds, ~60 questions cost about the same as one. Perplexity Decisions is multimodal (images via base64), $0.04/M input, 1–128 questions, no published open weights as of early October 2026.

Which is cheaper, Jev or Perplexity Decisions?

Very close: Perplexity $0.04/M input, Jev $0.042/M input (both output free). Difference is $0.002/M tokens or ~5%. Both significantly cheaper than chat models for routing/classification.

Does Perplexity Decisions support images?

Yes. Perplexity Decisions accepts images via base64 data URLs in state, per their quickstart docs. Jev is text-only; preprocess images with OCR or vision models.

Do both return probabilities and confidence?

Yes. Both return per-option probabilities and confidence scores. Your code can act on confident answers automatically and escalate uncertain ones to a person or larger model.

Which should I use for agent routing?

If you need vision (screenshots, UI state): Perplexity. If text-only and want proof builds: Jev has madewithjev catalog. If want lowest per-token cost: Perplexity $0.04/M, Jev $0.042/M — marginal difference. Both are GA with documented APIs.

Jev vs Perplexity Decisions

Perplexity shipped a Decisions API in September 2026: model pplx-decider-v1-27b handling noul/choice/score questions, 1–128 questions per call, images via base64, $0.04/M input (output free). TypeSafe's Jev launched the same month. Both are GA decision APIs; Perplexity has vision and slightly lower per-token cost, Jev has text-only simplicity and documented builds.

Updated 2 Oct 2026 · by Made with Jev

In short

Jev: text-only, $0.042/M input (output free), GA via TypeSafe API, closed weights, madewithjev proof builds.
Perplexity Decisions: multimodal (images via base64), $0.04/M input (output free), 1–128 questions, input under 262k tokens.
Both: GA, noul/choice/score question types, per-option probabilities and confidence, batch multiple questions per call.
Difference: ~5% per-token cost, vision support, proof builds. Same category validation: typed decisions beat generative prose for classify/route/act.

What Perplexity announced

From the Perplexity Decisions quickstart:

Model: pplx-decider-v1-27b
Endpoint: POST https://api.perplexity.ai/v1/decisions
Question types: noul, choice, score
Input: text and images (images via base64 data URLs in state)
Batch: 1–128 questions per call
Context: input under 262,144 tokens
Pricing: $0.04 per million input tokens, output free

Source: Perplexity Decisions quickstart

What Jev is

TypeSafe's Jev is a decision model (System One), not a chat model that happens to pick a label. Launched September 15, 2026.

Question types: Choice, Score, Noul (mixable in one call)
Returns: per-option probabilities and confidence
Input: text only (string, JSON object, or array of strings)
API: documented POST /v1/systemone with Python and JavaScript SDKs
Pricing: $0.042 per million input tokens, output free
Batch: ~60 questions cost about the same as one
Limits: 64k tokens per request; 32k for state plus longest question

Source: TypeSafe models

Side by side

Facts only. Where either product has not published a detail, that is what the table says.

As of early October 2026 reporting. Both products evolve; verify current docs before deciding.
	TypeSafe Jev	Perplexity Decisions
Announced	Sep 15, 2026	Sep 2026
Availability	Generally available	Generally available
Model	Purpose-built System One	pplx-decider-v1-27b
Public contract	Documented `POST /v1/systemone` + SDKs	Documented `POST /v1/decisions`
Question types	Choice, Score, Noul	noul, choice, score
Probabilities / confidence	Per-option probs + confidence	Per-option probs + confidence
Input modalities	Text only	Text + images (base64)
Max questions per call	~60 cost about the same as one	1–128
Context limit	64k tokens per request	Input under 262,144 tokens
Price	$0.042 / M input; output free	$0.04 / M input; output free
Open weights	No (closed)	Not published (as of early Oct 2026)
Self-hostable	No	Not published
Proof builds	madewithjev catalog	Vendor benchmarks only

Price difference: Perplexity $0.04/M vs Jev $0.042/M input = $0.002/M tokens or ~5%. Marginal difference; both significantly cheaper than chat models for routing/classification.

Latency caveat: Neither vendor publishes P50/P99 latency as of early October 2026. Do not compare vendor slides to third-party measured figures without labeling methods.

What builders should do

If you need vision (screenshots, UI state): Perplexity documents images via base64 data URLs. Jev is text-only; preprocess images with OCR or vision models if using Jev.
If you want proof builds: Jev has madewithjev catalog with published cost/latency figures. Perplexity: vendor benchmarks only as of early October 2026.
If you want lowest per-token cost: Perplexity $0.04/M, Jev $0.042/M — difference is ~5%. For text-only high-volume workflows, Perplexity has marginal edge.
If you are already using Perplexity APIs: Adding Decisions to existing Perplexity billing is simpler than wiring a second vendor.
If you need agent orchestration patterns: Jev has documented skill/MCP/orchestration rules for Claude Code, Cursor, Codex. Perplexity: check current docs for agent integration.

How to talk about timing

Jev mid-September, Perplexity Decisions September, Cloudflare Clef late September, OpenAI Decisions (DevDay) in the same window. Frame it as category validation: the industry agrees that constrained typed decisions at speed beat generative prose for classify/route/act workflows. No vendor has stated they copied another.

Builds that show the job

Routing, classification, and agent next action — with the cost and latency each builder published.

Duncan

@ephraimduncan

Built a model router with Jev by @typesafeai. Jev decides what model fits your request best and the request is sent to that model.

XRouting and model choice

A model router on Jev

Gregor Zunic

@gregpr07

Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓

XSearch

Pick

Flight search with Browser Use

Run time: ~7 s
Cost: ~$0.004

tamara

@tamarajtran

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

XContext and memory

Pick

Instant compaction for Claude

Hassan

@nutlope

I used Jev to classify 1,018 AI research papers. The result: $0.08 total cost and 256ms median end-to-end latency per paper. The pipeline was: 1. Summarize each paper with DeepSeek V4 Flash 2. Send the title + summary + 24 possible topics to Jev 3. Use Jev to classify each paper 4. Visualize everything on http://1kpapers.com The summaries cost $3.99 on @togethercompute. The classifications cost $0.08 on @typesafeai. So for just over $4 of inference, I ended up with a pretty useful way to explore the top AI research papers from the past year. I think this is where things are heading: different models for different parts of the workflow, instead of using one model for everything. I’m running evals on the Jev classifications before replacing the current ones, but the site is already live: http://1kpapers.com

Live siteDocuments and OCR

1kpapers

Documents: 1,018 papers
Total cost: $0.08
Median latency: 256 ms

Try it today

Try Jev Ship a build

Next steps

Perplexity Decisions alternatives — who should use Jev instead, and when Perplexity still wins
How to use Jev — your first call, SDKs, and gateways
Jev pricing — what a decision costs across real builds
Open-source Jev — local models that answer typed questions
Agent prompts — wire Jev into Claude Code, Cursor, Codex

Common questions

What is Perplexity Decisions API?: A decision API on model pplx-decider-v1-27b. Handles noul/choice/score question types, 1–128 questions per call, images via base64 data URLs, input under 262,144 tokens. Generally available with documented API and pricing ($0.04/M input, output free).
How is Jev different from Perplexity Decisions?: Jev is text-only, $0.042/M input (output free), closed weights, madewithjev proof builds, ~60 questions cost about the same as one. Perplexity Decisions is multimodal (images via base64), $0.04/M input, 1–128 questions, no published open weights as of early October 2026.
Which is cheaper, Jev or Perplexity Decisions?: Very close: Perplexity $0.04/M input, Jev $0.042/M input (both output free). Difference is $0.002/M tokens or ~5%. Both significantly cheaper than chat models for routing/classification.
Does Perplexity Decisions support images?: Yes. Perplexity Decisions accepts images via base64 data URLs in state, per their quickstart docs. Jev is text-only; preprocess images with OCR or vision models.
Do both return probabilities and confidence?: Yes. Both return per-option probabilities and confidence scores. Your code can act on confident answers automatically and escalate uncertain ones to a person or larger model.
Which should I use for agent routing?: If you need vision (screenshots, UI state): Perplexity. If text-only and want proof builds: Jev has madewithjev catalog. If want lowest per-token cost: Perplexity $0.04/M, Jev $0.042/M — marginal difference. Both are GA with documented APIs.

Made with Jev is independent and not affiliated with TypeSafe AI. Every figure on this page is the one its author published, linked to where it can be checked.