AI decision model
Jev AI API: Pricing, Latency & Cost Calculator
Estimate Jev API cost and latency for typed decision workloads using TypeSafe AI's published figures: $0.042 per MTok input, free output tokens, and 70-500ms response time.
Last verified against official sources: September 24, 2026
Input price
$0.042 / MTok
Output price
Free
Latency
70-500 ms
Homepage demo
0.114 s
Typed decisions
Jev returns structured values with probabilities. Your code can set thresholds for when to act and when to escalate.
What Jev is (in one screen)
Jev is TypeSafe AI's first public System One Model, announced on September 15, 2026. It is built to make fast, structured decisions that software can consume directly, rather than generating chat text.
Decisions, not strings
Instead of returning generated text, Jev returns type-safe structured values with calibrated probabilities.
Calibrated confidence
Every decision includes a confidence estimate, so software can treat high and low confidence differently.
Cost & Latency Calculator
Estimate Jev cost against frontier LLM ranges
Change the workload below to estimate Jev cost and latency against TypeSafe's published frontier LLM pricing ranges. The comparison uses ranges, not invented per-model prices.
Jev monthly cost
$8.4000
Comparison cost
$90.0000
You save
$81.60
10.7x cheaper
Latency
70-500 ms
vs 3-329 s
| Metric | Jev | Comparison |
|---|---|---|
| Per-call cost | $0.000084 | $0.000900 |
| Input price | $0.042 / MTok | $0.20 / MTok |
| Output price | Free | $1.00 / MTok |
| Recorded demo | 0.114 s, $0.000081 | 8.566 s, $0.013880 |
Jev figures: TypeSafe AI official pricing, September 2026. LLM figures: TypeSafe's published comparison ranges. LLM output price is estimated as input price x5, following TypeSafe's comparison table. Verify current pricing on the official site before relying on these numbers.
Jev vs frontier LLMs, field by field
| Field | Existing LLMs | Jev / System One |
|---|---|---|
| Training | RLHF / RLVR | RLCD |
| Input | Unstructured text and sequential messages | Unstructured program state |
| Output | Strings that need parsing and validation | Type-safe structured values |
| Sampling | Sequential, one token at a time | Parallel, all outputs in one query |
| Input cost | $0.20-$10 / MTok | $0.042 / MTok |
| Output cost | About 5x input | Free |
| End-to-end time | 3-329 seconds | 70-500 ms |
| Confidence | Often overconfident or inconsistent | Confidence with every output |
Source: TypeSafe AI, Introducing System One Models & Jev, September 15, 2026. LLM figures are TypeSafe's published comparison ranges, not per-model price lists.
Official published numbers
These are figures TypeSafe AI publishes on its own site and blog. We quote them as published and do not convert them into hidden per-model assumptions.
What Jev is good at
Smart if-statements: classify, route, score, extract, branch
Use structured outputs as fuzzy decision rules inside ordinary software.
Map-reducing over large data
Turn large data sets into features, labels, signals, and review queues.
Real-time applications
Use sub-second decision calls where a chat model would feel too slow for the user path.
Verifying and guarding LLM output
Score, judge, verify, guardrail, and detect jailbreaks or unsafe traces before acting.
What Jev cannot do
- It does not generate strings, so it is not a chat replacement.
- The published demos focus on structured state, not image understanding.
- Its speed advantage is workload-dependent.
- TypeSafe says the long-term sustainability of the price still needs time to prove.
- Jev is in early access, not general availability.
How to start
AIToolsera is not affiliated with TypeSafe AI. This page is an independent explainer and calculator, and it links to official resources rather than reselling access.
FAQ
What is Jev?
Jev is the first public System One Model from TypeSafe AI, announced September 15, 2026. It runs in early access and returns typed decisions with calibrated probabilities instead of generated text.
What is a System One Model?
It is TypeSafe's term for a model class built for decisions inside software. It consumes program state and returns type-safe structured values that code can act on.
How much does the Jev API cost?
TypeSafe publishes $0.042 per million input tokens, and output tokens are free. Confirm the current official pricing before committing budget.
How fast is Jev?
TypeSafe publishes end-to-end response times of 70ms to 500ms. Its homepage demo also shows a recorded completion time of 0.114 seconds.
Can Jev hallucinate?
TypeSafe states that Jev cannot make type errors because possible outputs and structure are defined in advance. It can still be wrong about a judgment, so confidence scores still matter.
Is Jev better than GPT-6 Astra or Fable 5.1?
They are built for different jobs. Jev gives up string generation to gain speed and price for typed decision workflows, so it is not a chat replacement.
Do I need a different API format than OpenAI's?
Jev is not a drop-in chat completion endpoint. TypeSafe publishes a System One adapter for structured decision comparisons and migration tests.
Is this page official?
No. AIToolsera is not affiliated with TypeSafe AI. This page is an independent explainer and calculator that links to official resources.