AI Cost Calculators
AI Batch API Savings Calculator
Compare standard and asynchronous AI processing costs across OpenAI, Claude, Gemini, Mistral, and custom batch pricing.
Enter Your Batch Processing Workload
Use the current standard token prices for the exact model being evaluated.
Verified batch discount
50%
Asynchronous processing with a 24-hour completion window
Workload split used for this estimate
Real-time requests: 30,000
Batch-eligible requests: 70,000
Batch requests after repeat allowance: 72,100
Standard input tokens: 250,000,000
Standard output tokens: 50,000,000
Applied batch discount: 50%
Batch API Cost and Savings
The result compares an all-standard baseline with a mixed standard-and-batch workflow.
Estimated monthly planning cost
Standard-only cost
—
Net monthly saving
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First-year saving
—
Real-time input
Requests that remain on standard processing
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Real-time output
Output tokens from standard-processing requests
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Batch input
Eligible input tokens after repeat-processing allowance
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Batch output
Eligible output tokens after repeat-processing allowance
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Fixed monthly workflow cost
Storage, queues, monitoring, validation, or orchestration
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Amortised implementation cost
$0.00 spread across 12 months
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Gross monthly token saving: —
Net monthly operating saving: —
Steady-state yearly saving: —
Standard cost per request: —
Mixed workflow cost per request: —
Approximate batch-share break-even: Enter prices
Implementation payback: Enter prices
Budget status: Add a budget to compare
* Important: The provider discount is built in from official documentation, but the model price fields are intentionally blank. Enter the current standard input and output rates for the exact model and context tier you plan to use. The estimate does not guarantee batch capacity, completion time, or successful processing.
Several AI providers offer lower prices when requests can be processed asynchronously. The discount can be meaningful, but only part of a production workload may tolerate delayed results, and a batch pipeline can add retries, storage, orchestration, and implementation work.
Calculating Real Batch API Savings
Enter monthly request volume, average input and output tokens, and the current standard token prices for the exact model being considered. Then choose how much of the workload can move away from real-time processing.
The calculator keeps the remaining requests at standard pricing and applies the provider's batch discount only to eligible work. Repeat processing, fixed monthly workflow costs, and one-time implementation cost can also be added.
Results include the standard-only baseline, mixed standard-and-batch cost, monthly and yearly savings, cost per request, implementation payback, and the approximate batch-share break-even point.
Choosing Workloads That Can Run Asynchronously
Batch processing fits jobs that do not need an immediate response. Examples include document extraction, bulk classification, moderation reviews, evaluation datasets, offline summaries, content enrichment, synthetic data, and scheduled reporting.
Customer-facing chat, live voice agents, interactive search, fraud decisions, and other time-sensitive requests normally remain in the standard-processing share.
Official Batch Discounts Included
OpenAI Batch API, Anthropic Message Batches, Google Gemini Batch API, and Mistral Batch Processing currently advertise a 50% reduction compared with their standard token-processing rates for supported workloads.
The calculator stores the verified discount rule rather than duplicating every model price. Users enter the live standard input and output rates for the exact model, context tier, and account they plan to use.
Discount rules were checked on June 20, 2026. Supported models, turnaround times, limits, and billing rules can change.
Practical Decisions This Tool Supports
- Decide whether a batch pipeline is financially useful.
- Separate latency-sensitive and delay-tolerant requests.
- Estimate monthly and annual token-cost savings.
- Include resubmission and repeat-processing overhead.
- Calculate implementation-cost payback.
- Find the batch-eligible workload needed to break even.
- Compare an official provider discount with a private quote.
Costs and Risks Outside the Estimate
The result does not automatically include file storage, data transfer, queue services, observability, engineering, validation, failed records that are not reprocessed, discounts from caching, taxes, or negotiated contracts.
Batch capacity, job-size limits, supported models, completion targets, and data-retention rules should also be checked before moving a production workload.
Frequently Asked Questions
Why are the model price fields blank?
Model prices change and each provider supports different models. Enter the current standard input and output prices for the exact model you plan to use. The calculator then applies the selected provider's verified batch discount.
What does batch-eligible workload mean?
It is the share of requests that can wait for asynchronous processing. Offline classification, document extraction, evaluation, summarisation, enrichment, and data generation are common examples.
Why include repeat-processing overhead?
A batch workflow may resubmit records because of application errors, validation failures, changed prompts, or incomplete results. The field lets you include that extra processed usage instead of assuming every item succeeds once.
Does the calculator include prompt caching?
No. It compares standard token pricing with batch token pricing. Anthropic says Message Batches and prompt-caching discounts can stack, but cache hits are best-effort in batch workloads. Use the Prompt Caching Savings Calculator separately for cache planning.
What is the break-even batch share?
It is the approximate percentage of monthly requests that must move to batch processing before token savings cover the entered fixed workflow cost and amortised implementation cost.
Is batch processing suitable for live user requests?
Usually not. Batch APIs are designed for latency-tolerant workloads. Keep interactive or time-sensitive requests in the standard-processing share.