Embedding API · decision tool

What Google Gemini Embedding really costs at your usage

Google Gemini Embedding priced at YOUR usage from verified pricing pages — no free tier — paid from day one. See the free-tier ceiling, the per-unit overage, and exactly when it starts costing real money.

Prices verified 2026-07-17 against official pricing pages · fit weights are our estimates (see methodology) · share the URL to share your configuration

As of Jul 2026, with 1,000M tokens embedded/month, a $50 budget for this slot, Google Gemini Embedding ranks first for these inputs at 22% fit and a StackSays-estimated $150.00/month. Fit weights are our estimates; prices trace to official pages. Change any input below and the verdict recomputes.

Your situation

The verdict updates as you move these.

Tokens embedded / month (millions)100 = 100M tokens; embeddings bill on INPUT tokens only (no output)Budget for this slot ($/mo)what you'd accept paying for the embedding API layerTeam size1 = solo; bundled platforms save glue time for small teams

Clear pick for your inputs

Google Gemini Embeddingfit 22% · est $150.00/mo

Hyperscaler embedding with a free tier — $0.15 per 1M tokens paid

Google Gemini Embeddingfit 22%

$150.00/mo

Comparing 1 tools head-to-head. Open the full field (5 options) →

The decision, in plain words

For a solo builder at 1,000M tokens embedded/month and a $50.00/mo budget for the embedding API slot, Google Gemini Embedding leads at 22% fit and $150.00/mo. The two rules doing the work: ecosystem maturity (established — our estimate from ecosystem age, docs and hiring pool); exit cost (Proprietary model — vectors don't transfer to another model's space (re-embedding needed to switch)).

Honest weak spot of the pick: ~$150/mo is 300% of your $50/mo budget — over it.

Generated from the calculation above — every number traces to the sourced data; nothing here is written by an AI making things up.

Why Google Gemini Embedding scores 22%

Budget fit (weight 30, our estimate) — ~$150/mo is 300% of your $50/mo budget — over it-30

Exit cost (weight 4, our estimate) — Proprietary model — vectors don't transfer to another model's space (re-embedding needed to switch)-0.8

Ecosystem maturity (weight 8, our estimate) — established — our estimate from ecosystem age, docs and hiring pool+8

Free-tier runway (weight 10, our estimate) — No free tier — paying from day one-6

Total (lines sum exactly)-28.8

Possible range −52…+52 (sum of active rule weights) · fit % = (total + max) / (2 × max)(-28.8 + 52) / 104 = 22%

How the $150.00/mo estimate is calculated

input tokens overage — 1000M over 0M included × $0.15/M$150.00

Note — A free tier is available (rate-limited) before paid usage$0

Monthly total (lines sum exactly)$150.00

What could change this verdict

No single input change within the tested range changes the winner.

Cost risk

Estimated now (StackSays estimate, not your final bill)$150.00/mo · Standard (paid)

Free-tier statusNo free tier — paid from the first unit

Official prices verified 2026-07-17; calculation is deterministic code over those prices.

At a glance

Tool	Free tier	Paid entry	Verified
Google Gemini Embedding	No free tier	Pay-as-you-go — A free tier is available (rate-limited) before paid usage	2026-07-17

Where did you land?anonymous, one click

Data sources

Tool	Source	Verified
Google Gemini Embedding	Google Gemini API pricing (official)	2026-07-17

A monitor re-checks these pages for changes; when a vendor moves a price, the date updates and every verdict recomputes.

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