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Models & Pricing
Nomic runs on frontier foundation models from Anthropic and Google, plus Nomic's own domain-specific models for parsing and embedding engineering documents.
How usage is paid for depends on your plan. Token rates and indexing prices are the same on every plan.
Plans
| Plan | Price | Included AI usage |
|---|---|---|
| Individual | $20/mo | $20/mo, plus on-demand |
| Business | $40/user/mo, 25-seat minimum | $20/user/mo, pooled |
| Enterprise | Custom | Contracted pool |
- Individual — self-serve personal workspace at app.nomic.ai. Manage usage in Settings → Billing.
- Business and Enterprise — organization instance at
<org>.drive.nomic.ai. Admins see the shared pool in Admin → Usage.
Full comparison, trial usage, on-demand top-ups, and what happens at the limit: Plans.
How AI usage is billed
Every AI operation deducts from an AI Usage pool, denominated in USD, at the underlying provider's rate:
- Assistant & Workflows — Billed per million tokens at each foundation model's API rate. Input, output, cache read, and cache write tokens are metered separately. The cost of a turn depends on the model, how much context Assistant pulls in, and how long the response is.
- Indexing (parsing + embeddings) — Billed per page parsed by Nomic's domain-specific Parse model. See Indexing.
Every transaction is recorded as a spend event.
- Individual — Review usage in Settings → Billing.
- Business / Enterprise — Admins audit organization-wide spend in Admin → Usage. Members review their own usage in Settings → Usage.
How much does $20 in AI usage buy you?
The pool is sized in dollars because different models have very different prices. The numbers below assume the recommended default — Claude Sonnet 4.6 — and are approximate; actual cost depends on context size, number of tool calls, and response length. Heavy caching pushes these higher; very long uncached research queries push them lower.
| Workflow | Est. cost per run | Runs per $20 |
|---|---|---|
| Base query on an indexed project (single tool call, short answer) | ~$0.10 – $0.15 | 130 – 200 |
| Typical Assistant session (Low effort, 5–10 messages, citations) | ~$0.10 – $0.25 | 80 – 200 |
| Medium effort across a large project (extended tool use, long synthesis) | ~$0.50 – $1.50 | 13 – 40 |
| Drawing review (per sheet) | ~$0.25 – $1.00 | 20 – 80 |
| Code compliance check against a screenshot from a drawing sheet | ~$0.15 – $0.40 | 50 – 130 |
| Submittal review against a project spec (multi-file, structured output) | ~$0.75 – $2.00 | 10 – 25 |
Rules of thumb for stretching your $20
- Default to Sonnet 4.6. Best cost/quality tradeoff for most queries. Reach for Opus only on the hardest reasoning, and Haiku for quick exploration.
- Keep projects scoped. Smaller projects, folders, and workflow context mean less input context per turn.
- Use Medium, High, or Extra High effort when the job needs it. Everyday questions stay on Auto or Low.
- Index once, query many. After a file is indexed, every question only pays for the foundation-model tokens it actually uses. See Indexing.
Where to next
- Plans — Individual vs Business vs Enterprise, trial usage, and limits.
- Models — The foundation models in the Assistant picker and what they cost per 1M tokens.
- Indexing — How Nomic Parse + Embed work, per-page pricing, and how to manage indexing spend.
- Spend estimates — How Nomic forecasts a workflow's cost before you run it, and how that estimate sharpens with use.
- Analytics & monitoring — Organization dashboards for auditing AI spend (Business and Enterprise).