Nomic Embed vs Vertex AI Embeddings Pricing | Costbench
Compare / Nomic Embed vs Vertex AI Embeddings
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Team size
25 seats

Nomic Embed vs Vertex AI Embeddings

Embedding APIs pricing comparison · 2026

Nomic Embed uses custom pricing, while Vertex AI Embeddings ranges from $0.00002–$0.2/listed input unit. These products use different pricing models (Per-seat subscription vs Usage-based (pay per token/image/minute)), so a direct price comparison isn't meaningful — costs depend on usage volume and mix.

Visit
See pricing on each vendor's site
Above-the-fold path — each link opens the vendor's pricing page in a new tab.
Visit Nomic pricing
Free plan limits → Discount programs →
Visit Vertex pricing
Discount programs →
Compare
2 products · Embedding APIs
Side-by-side · live
N
Nomic Embed
Nomic Embed is free to use via the Local / Open-Source tier, which provides full model wei
verified 12w ago
View pricing →
V
Vertex AI Embeddings
Vertex AI Embeddings currently publishes four embedding offerings with 17 charged input ra
verified 4d ago
View pricing →
Estimated license cost
at 25 seats
List price × seats. Click a tier below to lock it.
Pricing model unknown
Pricing model unknown
no public list price found
Usage-based
$0.00015 per 1,000 input tokens
see vendor pricing for volume tiers
REF · 01

Sources & confidence

Every dollar amount and contract clause below traces back to a sourced fact. We don't manufacture composite scores.

Where this data comes from
Vendr · TrustRadius · Reddit · BBB · official docs
Sources 8 sourced facts
7 hidden-cost · 1 contract
Last verified 2mo ago
Confidence Medium confidence
Sources No structured sources
Last verified 4d ago
Confidence Medium confidence
REF · 02

Plans at a glance

Every tier per product. Lock one to drive the cost row above and reveal a tier-specific outbound CTA.

Tier ladder
Click a tier to lock the cost row to it. Locking surfaces a tier-specific Visit CTA.
REF · 03

Hidden costs

Each cost is severity-ranked, with the dollar range quoted from its source (Vendr, Reddit, TrustRadius, BBB, official docs) — never our estimate.

Beyond the sticker
Severity-ranked, sourced
5 documented
  • AWS Infrastructure Costs
    1 source
  • DevOps Time
    $18,000 per year
    1 source
  • GPU Spot Instance Interruptions
    1 source
  • Model Evaluation Overhead
    1 source
  • Throughput Engineering
    1 source
No hidden costs documented
REF · 05

What users say

Aggregated, with sample sizes. We use whichever review platform has data.

User reviews
TrustRadius · Trustpilot · G2
No public ratings yet
Best for
Developers self-hosting embeddings
No public ratings yet
Best for
Token-priced text embedding requests
Decide
Get a quote from each vendor
Each link opens the vendor's pricing page in a new tab.
Visit Nomic pricing
Free plan limits → Discount programs →
Visit Vertex pricing
Discount programs →
License cost is computed from publicly listed plans (real math, list price × seats). Median annual cost is from Vendr's deal flow when available — see source badges. Hidden costs and contract terms each cite their own sources. We do not invent composite scores.
Embedding APIs

Nomic Embed

Custom pricing
/per million tokens
3 plans · Free tier
Full pricing breakdown →
VS
Embedding APIs

Vertex AI Embeddings

$0.00002–$0.2
/listed input unit
4 plans
Full pricing breakdown →
⚖

Different Pricing Models

Direct price comparison isn't meaningful here — Nomic Embed uses Per-seat subscription pricing while Vertex AI Embeddings uses Usage-based (pay per token/image/minute) pricing. Your actual cost will depend on usage volume, team size, or both. Here's each product in its native unit.

Per-seat subscription

Nomic Embed

Custom pricing
See full Nomic Embed pricing →
vs
Usage-based (pay per token/image/minute)

Vertex AI Embeddings

From $0.00002 per 1,000 characters
See full Vertex AI Embeddings pricing →

Plan-by-Plan Pricing

Plan Nomic Embed Vertex AI Embeddings
Local / Open-Source Free /month Custom
Atlas API (usage-based) Custom Custom
Enterprise Custom Custom
multimodalembedding — Custom

Continue researching

Nomic Embed

Vertex AI Embeddings

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