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Jev Pricing

Jev vs Claude Haiku 4.5: cost per decision

Production example · monthly

Jev 1.13
$126.00
Claude Haiku 4.5
$2,970

Claude Haiku 4.5: 24x the Jev bill

Haiku is the usual baseline for high-volume classification and routing. LiteLLM measured Jev classifying 5.43x faster at 96% lower cost on their router corpus.

Standard base token prices checked 2026-10-17. Anthropic pricing source. Check vendor terms before budgeting; other tiers and long-context rates can differ.

  • Light

    10k items/day, 300-token state, 2 questions

    Jev 1.13
    $8.57/mo
    Claude Haiku 4.5
    $171.00/mo

    20x the Jev bill

  • Production

    100k items/day, 500-token state, 4 questions

    Jev 1.13
    $126.00/mo
    Claude Haiku 4.5
    $2,970/mo

    24x the Jev bill

  • High volume

    2M items/day, 300-token state, 1 question

    Jev 1.13
    $1,512/mo
    Claude Haiku 4.5
    $23,400/mo

    15x the Jev bill

Monthly, 30 days. Both sides answer all questions for an item in a single call. Claude Haiku 4.5 additionally pays for its output tokens at $5/M; Jev 1.13 has no output charge. Jev 1.13’s figures include the ~260 tokens every request is measured to bill; the Claude Haiku 4.5 figures count your content only, with no system prompt or schema, so they are a floor. List prices at standard tier, excluding caching and batch discounts. Comparison rates checked 2026-10-17; verify current vendor prices before budgeting.

Where Claude Haiku 4.5 still wins

Haiku handles open-ended extraction where you cannot enumerate the options in advance. Jev needs the answer space defined up front.

The honest caveat

This compares price, not accuracy. A model that is 100x cheaper and wrong 5% more often can easily be the more expensive choice once you price the mistakes. Jev returns a calibrated probability with every answer, so the practical move is to route the confident cases automatically and send the rest to Claude Haiku 4.5 or a human — which makes this a routing decision rather than a replacement decision.

Run these numbers on your own workload →
What Jev AI is, what it costs and its limits →

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