OpenAI Batch API Cost Estimator
Estimate the cost of OpenAI Batch API requests (about 50% off) versus the synchronous API, with manual input and JSONL file modes and built-in reference prices for major models.
FreeOnline Tool
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How to Use
- Choose an input mode: 'Manual Input' lets you set the total request count and tokens per request; 'JSONL Estimate' lets you paste the JSONL request file (one request per line) and set an estimated output token count.
- Select a model from the dropdown, such as GPT-4o, GPT-4o mini or o1.
- Click 'Calculate'. The tool computes both synchronous and Batch API totals using built-in reference prices.
- Review the result cards: sync API total cost, Batch API total cost, money saved and savings percentage (about 50 percent).
- Check the cost breakdown for request count, total input and output tokens, and per-item costs.
- Click 'Load Sample Data' to quickly try both the manual and JSONL modes.
Features
- Built-in sync and batch reference prices for OpenAI models including GPT-4o, GPT-4o mini, GPT-4 Turbo, o1 and o3-mini.
- Manual mode: enter request count and per-request tokens for a quick estimate.
- JSONL mode: paste your Batch request file and let the tool estimate input tokens per line.
- Compares synchronous vs Batch API total costs with the amount and percentage saved.
- Detailed breakdown of request count, total input and output tokens, and sync and batch input-output costs.
Use Cases
Large-scale evaluation budgeting
Estimate how much you can save by running big evaluation suites through the Batch API instead of the synchronous one.
Data annotation batches
For large annotation workloads that do not need real-time responses, estimate the total cost of the Batch approach.
Sync vs batch comparison
Run the same workload through both modes to compare costs and support your architecture decision.
JSONL pre-flight check
Paste the JSONL file into the tool before submitting a batch job to confirm the cost is within expectations.
FAQ
Is the pricing fetched in real time?
No. The tool uses built-in public reference prices (Batch is roughly 50 percent of sync). A link to the OpenAI official pricing page is provided; your actual bill is the source of truth.
How is input tokens estimated in JSONL mode?
Roughly: about 1.5 tokens per Chinese character and 0.25 tokens per English character. It is for estimation only and less accurate than a real tokenizer.
What are the Batch API constraints?
Requests are usually completed within 24 hours, cannot be cancelled once submitted, and completion order is not guaranteed. It fits non-real-time workloads like evaluation, annotation and moderation.
Which models are supported?
GPT-4o, GPT-4o mini, GPT-4 Turbo, GPT-3.5 Turbo, GPT-4, o1, o1-mini and o3-mini with reference prices.
Why is the savings percentage fixed at about 50 percent?
OpenAI prices Batch API at 50 percent of the synchronous rate for both input and output, and the tool follows that rule. If the official discount changes, results change accordingly.