The Agent Pricing Index · rows 11 read 2026-09-08, 2 re-read 2026-09-18, 2 re-read 2026-10-14, 1 re-read 2026-10-15, 1 re-read 2026-10-16, 1 re-read 2026-10-18, 6 read 2026-10-22, 1 re-read 2026-10-22, 37 re-read 2026-10-27, 2 re-read 2026-10-31, 4 re-read 2026-11-03

The unit problem

43 of 68 products publish a unit price. They are counting 17 different things. The cheapest published unit is $0.0012 and the dearest is $69 — a 57,500x spread that means nothing, because a credit is not a token is not a minute is not a resolution.

This page does what a pricing teardown does first: puts every number on one axis, says which ones were read and which ones we computed, keeps comparison to the same meter, and then asks the only question a buyer has — what does one unit of my work cost? — using nothing but figures on the vendor's own page.

43
publish a unit price

of 68 products. 10 of those are derived by IY from a plan price and an included quantity — marked DERIVED everywhere they appear.

17
different units

1,000 Notion credits, 1M input tokens, 1M input tokens (v0 Pro model), AI Agent session, AI credit, Action (plus separate Vendor Credits)… Seven families once you group the ones that are the same thing.

208x
spread on a "credit"

$0.0012 to $0.25. Not a price difference — a definition difference.

1,250x
widest cost of one task

Lindy: 2 to 2,500 credits per task ('Everyday Asks' 2–250 · 'Deep work' 250–1,000 · 'Big Builds' 1,000–2,500). The buyer cannot forecast it; the pricing lead can fix it.

01

As published

Every unit price in the index on one log axis, grouped by what is being counted

Filled marks were read off the page. Hollow volt marks were computed by IY from two published figures (the arithmetic is in section 04). The ice diamond is a unit IY re-expressed so it could sit on the same line as its family. Hover any mark for the vendor's own words.

$0.001 $0.01 $0.10 $1 $10 $100 per 1M input tokens 10 prices · 23x spread DeepSeek Cohere Mistral Gemini API v0 Grok API Fireworks AI Together AI Claude API OpenAI per minute of a call 6 prices · 2.8x spread Vapi Retell Cartesia Managed Agents Deepgram Voice Agent API ElevenLabs Bland per credit · action · activity 12 prices · 208x spread * Make Gumloop Copilot * lemlist Lindy Notion * Relevance Qodo * Apollo * Zapier * Instantly * Lovable per outcome · resolution · conversation 8 prices · 4.1x spread * Freshdesk (Freddy AI Agent) Botpress Help Scout Envoy (AI Answers) * Lyro AI Agent Gorgias Fin Agentforce Zendesk AI agents per seat, per month 5 prices · 4.9x spread Gemini Workspace Otter.ai M365 Copilot Sana Jasper per lead contacted 1 price · 1.0x spread * 11x per line of code 1 price · 1.0x spread Amazon Q Developer
read from the pagederived by IY *normalized by IYlog scale · $0.001 to $100
Across the whole axis the numbers are not comparable. Within a row they are. That is the entire method, and most published comparisons skip it.
02

Same meter only

Where a comparison is legitimate, and the one caveat each row carries

metervendorslowhighspreadthe caveat
per 1M input tokens10$0.435 DeepSeek API$10 Anthropic Claude API23xthe same unit everywhere; cache and batch discounts change the effective price by 10–120x
per minute of a call6$0.05 Vapi$0.14 Bland AI2.8xheadline vs all-in: several bill the model, speech or telephony separately
per credit · action · activity11$0.0012 Make.com$0.25 Lovable208xa credit is whatever the vendor says it is; one Lindy task is 2 to 2,500 of them
per outcome · resolution · conversation8$0.49 Freshdesk$2 Agentforce4.1xa conversation is not a resolution; the conversation and session meters charge whether or not the agent succeeded
per seat, per month5$14 Gemini for Google Workspace$69 Jasper4.9xthe seat is the unit; what the seat includes is the price
per lead contacted1$1.88 11x$1.88 11x1.0xone vendor; the page's own FAQ disagrees with its headline by 25%
per line of code1$0.003 Amazon Q Developer$0.003 Amazon Q Developer1.0xone vendor; the meter is the code transformed, not the model or the seat

The token row is the only clean benchmark in the set: 10 vendors, one unit, a 23x spread on list — and every one of the big three then discounts reuse so steeply that the list price is the ceiling, not the price. The credit row is the opposite: 11 vendors, one word, and no two of them mean the same thing by it.

03

One unit of work

What a task, a conversation, a minute or a million tokens can cost — computed from the vendor's page, nothing else

For each vendor whose page gives enough to do the arithmetic, the bar runs from the cheapest case the page allows to the dearest. An open arrow means the page names a further charge without bounding it. The ice tick is the headline on the plan card. Width is the finding: the wider the bar, the less a buyer can forecast, and the more a pricing conversation is worth. Every bar is DERIVED; hover for the arithmetic.

$0.001 $0.01 $0.10 $1 $10 $100 ElevenLabs Agents one minute 2.0x+ VARIANCE Cartesia Managed Agents one minute 1.2x+ VARIANCE Agentforce one conversation open VARIANCE Vapi one minute open VARIANCE Lindy one task 1,250x VARIANCE DeepSeek API 1M input tokens 120x DISCOUNT Anthropic Claude API 1M input tokens 40x DISCOUNT Fin one conversation 10x VARIANCE Instantly one AI action 10x VARIANCE Fireworks AI 1M input tokens 10x DISCOUNT OpenAI API 1M input tokens 10x DISCOUNT Together AI 1M input tokens 10x DISCOUNT Relevance AI one Action 6.9x VARIANCE Perplexity API one search request 5.0x DISCOUNT Retell AI one minute 4.4x VARIANCE lemlist one email or phone found 4.0x VARIANCE Lovable one prompt 3.4x VARIANCE Deepgram Voice Agent API one minute 3.3x VARIANCE Otter.ai one seat-month 2.0x DISCOUNT Google Gemini API 1M input tokens 2.0x DISCOUNT Microsoft 365 Copilot one seat-month 1.8x DISCOUNT Zendesk AI agents one automated resolution 1.3x DISCOUNT Botpress one conversation 1.3x DISCOUNT 11x (Alice) one lead contacted 1.2x CONTRADICTS ITSELF Gemini for Google Workspac one seat-month 1.2x DISCOUNT Lyro AI Agent one AI conversation 1.2x DISCOUNT Jasper one seat-month 1.2x DISCOUNT Bland AI one minute 1.2x DISCOUNT Gorgias AI Agent one AI-resolved conversation 1.1x DISCOUNT Amazon Q Developer one line of code transformed 1.0x DEFINED Cohere 1M input tokens 1.0x DISCOUNT Freshdesk (Freddy AI Agent one AI Agent session 1.0x DEFINED Help Scout Envoy (AI Answe one AI resolution 1.0x DEFINED Make.com one module action 1.0x DEFINED Mistral AI API 1M input tokens 1.0x DISCOUNT Qodo one PR review 1.0x DEFINED Sana one seat-month 1.0x DISCOUNT xAI Grok API 1M input tokens 1.0x DISCOUNT
VARIANCE — the page states a consumption rangeDISCOUNT — the same unit priced by how you buy or reuse itCONTRADICTS ITSELFheadline on the plan card
Lindy sells a credit at $0.01 and a task at anywhere from $0.02 to $24.99. The unit price is true. It is also useless until the task is defined — and defining it is the vendor's job, not the buyer's.

Not computable from the page

17 more products publish a number that cannot be turned into the cost of one piece of work. Each absence is a specific, fixable omission.

04

The arithmetic

Every derived figure on this page, with the two published numbers it came from

productformulacomputedin the indexthe quote it rests onverified
Make.comDERIVED$12 Core plan ÷ 10,000 credits (slider default)$0.0012$0.0012'Each module action in your scenario... counts as one credit.'2026-10-14
LindyDERIVED$29.99 Plus ÷ 3,000 credits$0.01$0.01Plus $29.99/mo per user (3k credits) — re-read 2026-09-182026-10-15
Relevance AIDERIVED$29 Pro (monthly) ÷ 2,500 Actions$0.0116$0.0116'$19 / month annual, $29 / month monthly' · 2,500 Actions/month (docs)2026-10-27
Apollo.ioDERIVED$49 × 12 months ÷ 30,000 credits/year$0.0196$0.0196'$49/user/month, 30,000 credits/year'2026-09-08
Zapier AgentsDERIVED$33.33/mo (=$400/yr) ÷ 1,500 activities$0.0222$0.0222'$400 billed annually $33.33/month' · 1,500 activities/mo2026-10-27
LovableDERIVED$25 Pro ÷ 100 credits$0.25$0.25Pro monthly billing: '100 credits: $25'2026-10-16
11x (Alice)DERIVED$3,750/mo ÷ 2,000 leads$1.88$1.88'Starting at $3,750 / mo... Billed annually' · 2,000 new prospects2026-10-27
Notion AINORMALIZED$10 ÷ 1,000 credits (normalized by IY; the vendor publishes the $10)$0.01$0.01'$10 per 1,000 monthly Notion credits'2026-10-27
Lyro AI AgentDERIVED$39 Lyro plan, monthly billing ÷ 50 AI conversations$0.78$0.78'Starts at $39 /mo. From 50 Lyro AI conversations'2026-10-22
Freshdesk (Freddy AI Agent)DERIVED$49 ÷ 100 additional AI Agent sessions$0.49$0.49'Additional AI Agent sessions $49/100 sessions'2026-10-22
InstantlyDERIVED$47 Growth Credits ÷ 1,500 credits$0.0313$0.0313'Growth Credits $47/mo 1500 Instantly Credits Monthly'2026-10-22
lemlistDERIVED$20 data add-on ÷ 2,000 credits$0.01$0.01'2k credits/mo (400 emails or 100 phones)$20'2026-10-27

A derived unit price never appears unmarked — that is the whole promise of the format. If a figure above disagrees with the index it is flagged, not averaged.

What this page is a demo of

Your page, made to do this arithmetic

A fixed-scope pricing teardown: value metric, packaging and price level, benchmarked against this index, one recommended structure with a metering plan, a 60-minute working session and a written memo. Five business days from payment. $3,500, credited in full against a follow-on implementation. The first three at $2,500 in exchange for a short approved case study.

Ask for the free two-paragraph readHow to cite this data

Method

Every row: one vendor, one page, one dated read, a verbatim quote. Rows: 11 read 2026-09-08; 2 re-read 2026-09-18; 2 re-read 2026-10-14; 1 re-read 2026-10-15; 1 re-read 2026-10-16; 1 re-read 2026-10-18; 6 read 2026-10-22; 1 re-read 2026-10-22; 37 re-read 2026-10-27; 2 re-read 2026-10-31; 4 re-read 2026-11-03. 11 of 68 publish no price at all and are not on this page — that is a finding of its own, on the index. Derived and normalized figures are IY arithmetic on the vendor's numbers and are marked wherever they appear. License CC BY 4.0. Right of reply and removal: write to hello@ignatiustheyoungerai.com — a correction publishes with its date and what changed; a row comes down on request and the index records only that it did.

Dataset: agent-pricing-index.json · this page's data: units.json · API: /v1/pricing/index · machine-readable twin: units.md · built 2026-11-03 from Ops/prices/ by bin/build_index_pages.py.