Jev pricing

The published price

One price, one direction. TypeSafe bills the tokens you send and charges nothing for what comes back, because what comes back is a typed answer rather than text.

Input

$0.042 per million tokens

Output

Free

Free tier

None published

Model

Jev 1.13; jev-latest points to it

Rate limits

250,000 tokens a second, 1,200 requests a minute

Context

64k per request; 32k for the state plus the longest question

Latency

70 to 500 ms per call

Source: TypeSafe models and the launch post, which is the price every figure below was paid at.

What people actually paid

These are the runs where the author published a volume and a total, so the cost per decision is arithmetic rather than an estimate. They span 26 sheets of construction drawings to 123,805 API requests.

Each row links to the build and to where its author published the figures. The full workings, with latency and throughput, are in the Jev Build Report.

Riley Brown

@rileybrown

Yeah Jev by @typesafeai is very cool. It classified 500 emails in seconds. And it costed 3.5 cents.

X·Triage and routing

500 emails for 3.5 cents

Emails

500

Cost

3.5 cents

Movez

@0xMovez

I just built a Jev X Viral Post Analyser. 100,000 viral X posts. 20.4 seconds. $0.67. Claude Opus 5, same corpus, same clock, got through 214 posts and spent $0.98. per post that is ~680x cheaper the full Opus pass would have run $458. viral analysis is the perfect Jev job. • it is not writing, it is 14 yes/no calls per post: > does the hook open a loop, > is there a number in the first line, > is the proof real or claimed. classification, not prose. • what it found: 1,220 posts broke into the top 1%. baseline 1.22%. > superlative claim - 2.34% viral. 1.92x baseline > contrarian take - 1.59%. 1.31x > launch / tool drop - 1.46%. 1.19x and numbered lists, the thing everyone writes: 0.55%. below baseline. the most used hook is the least viral one. full stop. • what you are watching: left is the post under analysis, right is Jev answering 14 typed questions about it, each with a confidence score. the run stops at 20.4s because that is when Jev finished all 100k. pulled the corpus through a few X APIs, one parallel pass into Jev. should I drop it to public? Read my latest article on Jev Engineering below and turn your ideas into reality.

X·Content and growth

Pick

100,000 viral posts in 20.4 seconds

Posts

100,000

Time

20.4 s

Cost

$0.67

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 site·Research and data

1kpapers

Documents

1,018 papers

Total cost

$0.08

Median latency

256 ms

Trinay Hari

@hari_trinay

Built a construction plan-set classifier with Jev. Proq turns civil and building plan sets into bills of materials using an LLM pipeline we built on GPT-4.1. Jev classified an entire 26-sheet plan set in 2.9 seconds for $0.0052. It matched GPT-4.1 and GPT-6 Astra on 100% of sheet-level classifications while running 17–21x cheaper and 5x faster than our production pipeline.

X·Research and data

A 26-sheet plan set in 2.9 seconds

Sheets

26

Time

2.9 s

Cost

$0.0052

Is Jev free?

No, and nothing on TypeSafe’s models page offers a free tier. The reason people ask is that the bills look like rounding errors: Mike Taylor ran 1,709 editorial judgments for under a cent, and Movez scored 100,000 posts on fourteen questions each for 67 cents. At the median rate, a dollar buys roughly 14,727 decisions.

If you want to try it without wiring up billing, the cheapest first step is a gateway you already pay through — OpenRouter, Cloudflare or Netlify — or TypeSafe’s own playground, where you can send a question without writing code. The routes are listed on how to use Jev.

The comparison that decides it

Per-token prices are the wrong axis, because the two models are not doing the same amount of work per item. Per job is where the gap shows.

The eval row is TypeSafe’s own, from their workflow evals. The other two are the builders’. The reasoning behind all three is on Jev vs an LLM.

What makes a bill bigger than expected

Three things, in the order they bite. The state is billed on every call, so sending a whole document to answer one question about its first paragraph is where the money goes; trim the state before you trim the questions. Retries count, and the SDKs retry with backoff when you cross a rate limit. And a two-pass pattern — score everything, then re-ask about the shortlist — doubles the state you send, which is usually still worth it, but it is worth knowing you chose it.

For a ceiling: Will Kelly’s adversarial evaluation ran 123,805 requests across nine experiments and cost $12.69 in total. That is the largest published bill in this directory.

Common questions

Is Jev AI free?

No. Input is billed at $0.042 per million tokens. Output is free of charge, which is unusual, but the model is still metered. TypeSafe publishes no free tier on its models page.

How much does Jev cost per decision?

Across 15 published runs where the author gave both a volume and a total, the median is $0.000068 per decision — about 14,727 decisions per dollar. The cheapest published run worked out at 170,900 per dollar, the dearest at 1,429.

Why is output free?

Because there barely is any. Jev returns a choice, a set of probabilities and a confidence, not generated text, so the response is a few dozen bytes however long the question was. You are paying for the state you send in.

Does asking more questions cost more?

Hardly. Every question in a call is answered against the same state, and the state is the part you are billed for. One build asks 61 questions about a single draft post for $0.0004.

How do I pay for Jev?

Directly with a TypeSafe API key, or through a gateway that already has your billing: OpenRouter, the Cloudflare and Netlify AI gateways, or a LiteLLM proxy. The price per token is the thing to compare; the gateways add their own terms.