Batch API
An API pattern that allows multiple AI inference requests to be packaged and processed as asynchronous batch tasks. Compared with real-time calls, this approach typically reduces costs by more than 50%.
Core Facts
Timeline (last 90 days)
Batch API pricing is about half that of regular synchronous calls, and the official commitment is to return results within 24 hours.
The Batch API and "off-peak discounts" are two different cost-saving mechanisms: the former trades latency for a discount, while the latter exploits vendors' idle compute pricing; the two can be used together.
The Batch API is an asynchronous inference interface provided by vendors such as OpenAI and Anthropic, in which users package and submit large numbers of requests, the vendor completes processing within a committed time limit (usually 24 hours), and billing is at about a 50% discount to standard prices.
The batch API's 50% discount roughly corresponds to the economic headroom providers gain by improving GPU utilization through queue scheduling and reducing amortized cost per token.
The Batch API offers up to a 50% discount on most platforms.
There are exceptions to the batch API discount rate: Moonshot is 40%, xAI only 20%, and most providers are 50%.
The three-step cost optimization path: first identify shareable prefixes to assess cache hit potential, then migrate non-real-time tasks to the batch channel, and finally confirm the target platform's discount stacking rules.
Batch jobs typically have a completion window of within 24 hours, with no guarantee of order or exact latency.
Google Gemini's Batch API is billed at 50% of standard cost, targets a 24-hour turnaround time, and jobs expire after 48 hours.
Anthropic's Batch API is 50% cheaper than the standard API for all usage (input, output, and everything else), supports up to 100,000 requests or 256MB, has a hard expiration time of 24 hours, and expired requests are not billed.
11 more timeline events
All Facts (20)
The Batch API allows large numbers of requests to be submitted asynchronously in exchange for a price discount of typically around 50%, making it suitable for offline tasks that do not require real-time responses.
65%UnverifiedBatch API pricing is about half that of regular synchronous calls, and the official commitment is to return results within 24 hours.
50%UnverifiedThe Batch API and "off-peak discounts" are two different cost-saving mechanisms: the former trades latency for a discount, while the latter exploits vendors' idle compute pricing; the two can be used together.
50%UnverifiedThe Batch API is an asynchronous inference interface provided by vendors such as OpenAI and Anthropic, in which users package and submit large numbers of requests, the vendor completes processing within a committed time limit (usually 24 hours), and billing is at about a 50% discount to standard prices.
50%UnverifiedThe Batch API offers up to a 50% discount on most platforms.
50%UnverifiedThere are exceptions to the batch API discount rate: Moonshot is 40%, xAI only 20%, and most providers are 50%.
50%UnverifiedThe three-step cost optimization path: first identify shareable prefixes to assess cache hit potential, then migrate non-real-time tasks to the batch channel, and finally confirm the target platform's discount stacking rules.
50%UnverifiedBatch jobs typically have a completion window of within 24 hours, with no guarantee of order or exact latency.
50%UnverifiedThe batch API's 50% discount roughly corresponds to the economic headroom providers gain by improving GPU utilization through queue scheduling and reducing amortized cost per token.
50%UnverifiedAnthropic's Batch API is 50% cheaper than the standard API for all usage (input, output, and everything else), supports up to 100,000 requests or 256MB, has a hard expiration time of 24 hours, and expired requests are not billed.
50%UnverifiedGoogle Gemini's Batch API is billed at 50% of standard cost, targets a 24-hour turnaround time, and jobs expire after 48 hours.
50%UnverifiedThe Batch API is an asynchronous discount channel, typically priced at around 50% of the synchronous interface, suitable for offline, non-real-time tasks, and it does not change the validation pass rate p.
50%UnverifiedBatch API typically offers about a 50% discount for non-urgent tasks, at the cost of stretching latency from seconds to hours
50%UnverifiedSome vendors offer discounted prices for batch requests (Batch API).
50%UnverifiedOpenAI's Batch API and similar services from other providers charge about half the synchronous price, at the cost of a completion window of up to one day.
50%UnverifiedOpenAI's batch API offers a 24-hour processing window with token prices 50% lower than standard synchronous requests.
50%UnverifiedOpenAI API historical updates include new model versions (such as the gpt-4o series), expanded context windows, support for Structured Outputs, and the launch of the Batch API.
50%UnverifiedOpenAI has launched differentiated capabilities such as Batch API and Fine-tuning, which currently cannot be transparently forwarded through a third-party routing layer.
50%UnverifiedOpenAI introduced the Batch API in 2024, offering a 50% price discount.
50%UnverifiedMany cloud inference platforms support batch inference (Batch API), which can reduce the cost of a single call by more than 50%.
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