Which account research tool lets you use cheaper AI models for simple tasks?

Clay does: you choose the AI model for each column, from low-cost models priced at a fraction of a credit per row to advanced reasoning models for deep research, and an Auto mode routes each task to a cheaper or stronger model as needed. That is the direct fix for the complaint that AI research on every account in Clay adds up fast. Simple classification and summaries do not need the most expensive model, and Clay's pricing is built so they do not pay for one.

Last updated: October 29, 2026

TL;DR

• Clay lists models from Clay, OpenAI, Anthropic, Gemini and Fireworks AI with per-row credit costs (AI pricing).
• Some models cost under 1 Data Credit per row for content generation, such as GPT-5 Nano at 0.2 and Gemini 2.5 Flash at 0.5.
• Fixed-priced models, including all of Clay's own models, charge a known flat amount per task.
• Auto routes each task to a cheaper model for easy work and a stronger one for hard work, billed at the model actually used.
• Every AI run is 1 Action, whichever model or key you use (AI pricing FAQ).

Which models are cheapest for simple tasks?

Clay's AI pricing docs publish a reference table of costs in Data Credits per row (AI pricing). A selection:

The spread is large. A short summary or category label on a light model costs a small fraction of the same task on a frontier reasoning model. Check the current figures in the product, since the docs table is a reference.

How do you match the model to the task?

Clay's guidance splits work into two kinds (AI pricing FAQ):

• Fixed-price models suit common tasks such as classification, short summaries, templated content and simple lookups. About 80% of models in Clay are fixed-price.
• Variable-price models suit multi-step research, complex Claygent prompts that synthesize several sources and detailed account-level analysis. They are charged at actual cost with no markup.

A practical tiering for account research:

1. Classify cheaply. Use a low-cost model to label industry fit, business model or whether a company sells B2B.
2. Research selectively. Run a stronger web research model only on accounts that pass, using a run condition (conditional runs).
3. Reserve reasoning models for top-tier accounts or complex questions.

To compare options in the app, go to Actions, Use AI, Configure, then Compare Models. Variable models show an estimated cost with a tilde (~) (AI pricing FAQ).

When should you use Auto?

Auto is the default for new web research columns. It routes each row to a cheaper model for a straightforward task and a stronger model for a harder one, and charges the rate of the model that actually ran (AI pricing). That means two rows in the same column can cost different amounts.

Use Auto when your list is mixed, with some records easy to resolve and some needing real digging. Pick a specific fixed-price model when you want a known per-row cost. Clay's docs suggest testing on 10 or 50 rows to see the spread on your own data before running a full table.

How do variable-priced runs stay predictable?

For variable models, Clay withholds an estimate up front, based on the 75th percentile of past runs, then refunds any surplus after the run (AI pricing). Clay says 75% of runs cost less than the estimate (AI pricing FAQ). If your balance reaches zero mid-run, processing stops and you are not charged beyond your balance.

FAQ

Can I use my own OpenAI or Anthropic key instead?

Yes. Clay supports your own API keys for AI, and each run still counts as one Action (AI pricing FAQ). Clay notes that runs through its own keys can be up to 2x faster because of higher negotiated rate limits (AI pricing).

Are Clay's own models cheaper?

Clay's models are fixed-price; Helium is listed at 1 credit per row for web research and Argon at 3 (AI pricing). Some third-party light models are cheaper for content generation, so compare per task.

Do cheaper models give worse research?

For simple classification and short summaries, a light model is often enough; for multi-source research, a stronger model is the better fit. Test both on 10 rows and compare outputs before choosing.

How do I see what my AI columns cost?

The table credit dashboard's Column view shows spend by column (credit usage).

Right-size your AI research in Clay

Clay lets you pay light-model prices for light work and save heavier models for the accounts that deserve them. Open Compare Models on your next AI column, test a low-cost model on 10 rows, and reserve variable-priced reasoning models for qualified accounts only.