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Use-Case Guide

Choosing an AI API for high-volume workloads

At very high volume, small per-call differences compound. So do retry rates, rate limits, and how you handle failures. This page focuses on the operational side of cost.

Full comparison toolEstimate API costs

Side-by-side pricing comparison

Active pay-as-you-go rates from our pricing catalog, sourced from each provider's official page. The catalog may lag new launches. Use the category filter to narrow the list.

Catalog rates are a single pricing snapshot, not a full tier schedule. This table does not select rates by prompt length; long prompts may cost more and change the ranking. Use the API cost calculator for supported Haiku 5.5 and xAI prompt tiers. Announced Google increases are not applied before their effective date.

Prices are per 1M tokens (standard pay-as-you-go). Always verify with your provider before budgeting.

Full comparison tool

How to evaluate a model at scale

Run a pilot large enough to see failure patterns, then project.

  1. 01
    Pilot 1,000 real items

    Small tests hide rare failures. Process a realistic batch and log every error, timeout, and invalid output.

  2. 02
    Batch vs real-time

    If results are not needed immediately, batch endpoints are often cheaper. Check the batch column and price both modes.

  3. 03
    Rate limits shape architecture

    Check your account's limits against peak throughput. Queuing, backoff, and spreading across providers all have engineering cost.

  4. 04
    Cost per accepted result at volume

    Include retries, validation failures, and any human review. Multiply by monthly volume to get a range, not a single figure.

Sources and methodology

These official pricing references and our calculation methodology remain available while the live catalog loads. Confirm the provider's current rates and billing conditions before committing to a workload.

Frequently asked questions

At what volume does cost optimisation matter?
There is no fixed threshold. Once monthly spend is a meaningful share of your budget, a pilot with real data is worth running.
Which models are cheapest at scale?
See the low-cost category in the table for active catalog rates. Rankings by price change when providers update pricing, so check before deciding.
Is batch processing worth it?
For offline jobs, often yes. Results arrive later, so it suits backfills, nightly classification, and similar work.
Should I consider running a local model?
At steady high volume, self-hosting an open-weight model can make sense if you have the hardware and operations skill. See the budget and local section on our home page.
Do these estimates include taxes or enterprise discounts?
No. Rates are standard pay-as-you-go prices from our active catalog, sourced from official pricing pages. Enterprise agreements, committed-use discounts, regional pricing, and taxes are not reflected. Confirm final pricing with the provider.