Skip to content
Jev Hub

[ Compare ]

Jev vs Claude: what each does, what it costs and when to use which

Published By Jev Hub

[ In short ]

Claude writes, reasons and codes. Jev only returns typed decisions with probabilities. In TypeSafe's own workflow tests Jev scored the same as Claude Sonnet 5 and below Opus 5, at a tiny fraction of the cost and time. Those are TypeSafe's tests, scored against labels made by two frontier models, so they show a pattern, not a verdict.

Side by side

FeatureJev (TypeSafe AI)Claude (Anthropic)
What it isA decision model: it answers typed questions about an input and returns probabilities. It cannot write text.Anthropic's family of language models (Haiku, Sonnet, Opus and more). They write, reason and code, and handle open-ended tasks.
What comes backA typed answer with probabilities and a confidence valueText, which your code then has to read and check
Price per million tokens (input / output)$0.042 / freeHaiku 4.5 $1 / $5; Haiku 5.5 $0.10 / $0.50 (prompts up to 100,000 tokens); Sonnet 5.5 $2 / $10; Opus 5.5 $4 / $20; Fable 5.1 $10 / $50 (Anthropic's pricing page)
TypeSafe's workflow test: accuracy67.8%Opus 5 73.1%; Sonnet 5 67.8%; Haiku 4.5 53.6%
TypeSafe's workflow test: cost per case$0.0004Opus 5 $0.1761; Sonnet 5 $0.1174; Haiku 4.5 $0.0195
TypeSafe's workflow test: time per case0.4 sOpus 5 37.8 s; Sonnet 5 78.1 s; Haiku 4.5 12.5 s
Can it write, reason or code?NoYes

Prices are from the sources below and can change. The test rows are TypeSafe's own, not an independent test: the workflows, the reference answers and the settings were chosen by TypeSafe. The models tested are Opus 5, Sonnet 5 and Haiku 4.5; newer Claude models exist and were not in that test.

The short answer

Claude is a family of language models: it writes, explains, plans and codes. Jev does none of that. You give it an input and the questions you want answered, with the allowed answers, and it returns a probability for each. That is why the two are rarely rivals: Claude does the thinking and writing, Jev can handle the repeated, high-volume judgments around it.

On price, Jev lists $0.042 per million input tokens and charges nothing for output. By our arithmetic from the list prices, that is about 2.4 times cheaper per input token than Claude Haiku 5.5 and 24 times cheaper than Haiku 4.5, and Claude's output costs $0.50 to $5 per million tokens on those models while Jev's is free.

What TypeSafe's own test found

TypeSafe publishes workflow evals that run four automation tasks (security incidents, agent trace review, invoice processing and customer service) and score each model against reference answers. In that test, per case: Jev scored 67.8% at $0.0004 in 0.4 seconds. Claude Opus 5 scored 73.1% at $0.1761 in 37.8 seconds, Sonnet 5 scored 67.8% at $0.1174 in 78.1 seconds, and Haiku 4.5 scored 53.6% at $0.0195 in 12.5 seconds.

Read plainly: in that test Jev matched Sonnet 5 on accuracy, trailed Opus 5 by about five points, and beat Haiku 4.5, at a tiny fraction of the cost and time. The Claude models also ran the whole task as a single prompt in a separate TypeSafe test, where they scored lower (Opus 5 64.8%, Sonnet 5 60.4%, Haiku 4.5 18.1%); the table above uses the structured-workflow version, which is the fairer match for Jev.

Why these numbers are only a pattern

Five reasons to hold them loosely:

  • TypeSafe ran it. This is the maker's own test, not an independent one. TypeSafe chose the workflows and the settings.
  • The answer key is made by two frontier models. TypeSafe says the reference labels are an average of GPT-6 Astra and Claude Fable 5.1 at high thinking, so accuracy means agreement with those two, not proven correctness. One of them is a Claude model.
  • Equal weighting hides detail. The headline figure averages four workflows equally, so it can hide a model being strong on one task and weak on another.
  • Older Claude models. The test used Opus 5, Sonnet 5 and Haiku 4.5. Anthropic now lists Opus 5.5, Sonnet 5.5 and Haiku 5.5, which were not tested.
  • No date. The evals page shows no date or version, so we cannot say when it was run.

Which should you pick?

Based on what is documented today:

  • Choose Claude if the output must be written text, or the task needs reasoning, coding or planning.
  • Choose Jev if you make the same kind of judgment thousands of times from a list of answers you define, and cost and speed matter. It takes text only.
  • Use both: let Jev triage everything and route only the items that need writing or deeper thought to Claude.
  • Test before you commit. Run a labelled sample of your own data through each; published results will not match your data exactly.

Keep reading

Common questions

Is Jev better than Claude?
They do different jobs. Claude writes and reasons in text; Jev only returns typed decisions with probabilities. In TypeSafe's own workflow test Jev scored the same as Sonnet 5 and below Opus 5, at a much lower cost, but that is the maker's test.
Is Jev cheaper than Claude?
On list prices, yes. Jev is $0.042 per million input tokens with free output. Anthropic lists $0.10 per million input tokens for Haiku 5.5 (prompts up to 100,000 tokens), $1 for Haiku 4.5 and $2 or more for Sonnet and Opus, with output charged on top.
Can Jev replace Claude?
Not for writing, reasoning or coding. Jev cannot generate text. Many teams keep a language model for that work and use Jev for the high-volume decisions around it.
Which Claude models did TypeSafe test?
Opus 5, Sonnet 5 and Haiku 4.5. Anthropic's pricing page now also lists Opus 5.5, Sonnet 5.5 and Haiku 5.5, which were not part of that test.
Can I trust TypeSafe's numbers?
Treat them as the maker's own claim. TypeSafe says the reference answers come from two other frontier models, so accuracy is agreement with them. Test on your own data.

Sources

Written by Jev Hub from the sources below and checked against them on . Where a figure is a company's own claim, the article says so.

This page is part of Jev vs ChatGPT, Claude and other LLMs, which compares them all in one place. Other models: Jev vs ChatGPT, Jev vs Gemini.