Jev Pricing Explained: $0.042 per Million Tokens

The price

	Jev 1.13 (jev-1.13.0)
Input	$0.042 per million tokens ($42 per billion)
Output	Free
Context	64k tokens per request (32k for state plus the longest question)
Rate limits	250,000 tokens/second, 1,200 requests/minute (adjusting during early access)

Source: TypeSafe models page, checked September 18, 2026.

What you’re billed for

You pay for the input tokens in each request: your state plus your questions (instructions and option descriptions). Each response reports usage.input_tokens, so you can track spend per call. Because Jev ingests the state once and answers every question against it in parallel, asking several questions about the same state in one call is usually cheaper than making several calls.

There is no charge for output. That matters more than it sounds: with an LLM, a classification that “thinks out loud” before answering can spend more on output than on input.

A worked example

Say you classify 100,000 support tickets a day, each about 500 tokens of text, and an LLM would need about 50 output tokens per ticket to answer. Over a 30-day month that’s 1.5 billion input tokens and, for an LLM, 150 million output tokens.

Model	Input cost	Output cost	Monthly total
Jev 1.13	1,500M × $0.042 = $63	$0	$63
GPT-5.6 Luna	1,500M × $0.20 = $300	150M × $1.20 = $180	$480
Claude Haiku 4.5	1,500M × $1 = $1,500	150M × $5 = $750	$2,250
Claude Sonnet 5	1,500M × $2 = $3,000	150M × $10 = $1,500	$4,500

At these volumes Jev is roughly 8× cheaper than the cheapest LLM in the table and 36× cheaper than Claude Haiku 4.5. The gap is smaller than TypeSafe’s headline numbers because it compares against smaller models. It grows quickly if your LLM uses reasoning tokens or you compare against a frontier model.

Price isn’t the whole story. These are only comparable if Jev is accurate enough for your task, and that’s something to measure on your own data.

Calculate your own costs

About TypeSafe’s comparisons

TypeSafe’s home page says Jev is “444.6× cheaper” and “193.6× faster” than LLMs, based on its own published workflow evaluations of System One tasks. TypeSafe itself says these are probably at the high end of what you’ll see in practice, so treat them as an upper bound, not a forecast. The home page also cites a 238× lower input price than Claude Fable 5.1, which matches list prices: $10 versus $0.042 per million input tokens.

Other ways to pay

Jev is also listed on Vercel AI Gateway. Gateway pricing and limits can differ from TypeSafe’s direct API, so check there if you route through it. For higher rate limits or enterprise terms, TypeSafe points to sales@typesafe.ai.

Frequently asked questions

Are Jev's output tokens really free?

Yes. TypeSafe's models page says Jev is charged per input token and output tokens are free. Responses still report usage, but only input tokens are billed.

How is the 444.6x cheaper figure calculated?

It comes from TypeSafe's own published workflow evaluations comparing Jev with frontier LLMs on System One tasks. TypeSafe says the figure is likely at the high end of real-world savings. Your ratio depends on input size, output length, and which model you compare against.

What are Jev's rate limits?

For jev-1.13.0, TypeSafe lists 250,000 tokens per second and 1,200 requests per minute, and warns these are adjusting dynamically during early access. Higher limits are available on custom and enterprise plans.