Skip to content
Primary navigation

Create batch

batches.create(**kwargs) -> Batch { id, completion_window, created_at, 19 more }
POST/batches

Creates and executes a batch from an uploaded file of requests

ParametersExpand Collapse
completion_window: :"24h"

The time frame within which the batch should be processed. Currently only 24h is supported.

endpoint: :"/v1/responses" | :"/v1/chat/completions" | :"/v1/embeddings" | 5 more

The endpoint to be used for all requests in the batch. Currently /v1/responses, /v1/chat/completions, /v1/embeddings, /v1/completions, /v1/moderations, /v1/images/generations, /v1/images/edits, and /v1/videos are supported. Note that /v1/embeddings batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch.

One of the following:
:"/v1/responses"
:"/v1/chat/completions"
:"/v1/embeddings"
:"/v1/completions"
:"/v1/moderations"
:"/v1/images/generations"
:"/v1/images/edits"
:"/v1/videos"
input_file_id: String

The ID of an uploaded file that contains requests for the new batch.

See upload file for how to upload a file.

Your input file must be formatted as a JSONL file, and must be uploaded with the purpose batch. The file can contain up to 50,000 requests, and can be up to 200 MB in size.

metadata: Metadata

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.

output_expires_after: OutputExpiresAfter{ anchor, seconds}

The expiration policy for the output and/or error file that are generated for a batch.

anchor: :created_at

Anchor timestamp after which the expiration policy applies. Supported anchors: created_at. Note that the anchor is the file creation time, not the time the batch is created.

seconds: Integer

The number of seconds after the anchor time that the file will expire. Must be between 3600 (1 hour) and 2592000 (30 days).

formatint64
minimum3600
maximum2592000
ReturnsExpand Collapse
class Batch { id, completion_window, created_at, 19 more }
id: String
completion_window: String

The time frame within which the batch should be processed.

created_at: Integer

The Unix timestamp (in seconds) for when the batch was created.

formatunixtime
endpoint: String

The OpenAI API endpoint used by the batch.

input_file_id: String

The ID of the input file for the batch.

object: :batch

The object type, which is always batch.

status: :validating | :failed | :in_progress | 5 more

The current status of the batch.

One of the following:
:validating
:failed
:in_progress
:finalizing
:completed
:expired
:cancelling
:cancelled
cancelled_at: Integer

The Unix timestamp (in seconds) for when the batch was cancelled.

formatunixtime
cancelling_at: Integer

The Unix timestamp (in seconds) for when the batch started cancelling.

formatunixtime
completed_at: Integer

The Unix timestamp (in seconds) for when the batch was completed.

formatunixtime
error_file_id: String

The ID of the file containing the outputs of requests with errors.

errors: Errors{ data, object}
data: Array[BatchError { code, line, message, param } ]
code: String

An error code identifying the error type.

line: Integer

The line number of the input file where the error occurred, if applicable.

message: String

A human-readable message providing more details about the error.

param: String

The name of the parameter that caused the error, if applicable.

object: String

The object type, which is always list.

expired_at: Integer

The Unix timestamp (in seconds) for when the batch expired.

formatunixtime
expires_at: Integer

The Unix timestamp (in seconds) for when the batch will expire.

formatunixtime
failed_at: Integer

The Unix timestamp (in seconds) for when the batch failed.

formatunixtime
finalizing_at: Integer

The Unix timestamp (in seconds) for when the batch started finalizing.

formatunixtime
in_progress_at: Integer

The Unix timestamp (in seconds) for when the batch started processing.

formatunixtime
metadata: Metadata

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.

model: String

Model ID used to process the batch, like gpt-5-2025-08-07. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the model guide to browse and compare available models.

output_file_id: String

The ID of the file containing the outputs of successfully executed requests.

request_counts: BatchRequestCounts { completed, failed, total }

The request counts for different statuses within the batch.

completed: Integer

Number of requests that have been completed successfully.

failed: Integer

Number of requests that have failed.

total: Integer

Total number of requests in the batch.

usage: BatchUsage { input_tokens, input_tokens_details, output_tokens, 2 more }

Represents token usage details including input tokens, output tokens, a breakdown of output tokens, and the total tokens used. Only populated on batches created after September 7, 2025.

input_tokens: Integer

The number of input tokens.

input_tokens_details: InputTokensDetails{ cached_tokens}

A detailed breakdown of the input tokens.

cached_tokens: Integer

The number of tokens that were retrieved from the cache. More on prompt caching.

output_tokens: Integer

The number of output tokens.

output_tokens_details: OutputTokensDetails{ reasoning_tokens}

A detailed breakdown of the output tokens.

reasoning_tokens: Integer

The number of reasoning tokens.

total_tokens: Integer

The total number of tokens used.

Create batch

require "openai"

openai = OpenAI::Client.new(api_key: "My API Key")

batch = openai.batches.create(
  completion_window: :"24h",
  endpoint: :"/v1/responses",
  input_file_id: "input_file_id"
)

puts(batch)
{
  "id": "batch_abc123",
  "object": "batch",
  "endpoint": "/v1/chat/completions",
  "errors": null,
  "input_file_id": "file-abc123",
  "completion_window": "24h",
  "status": "validating",
  "output_file_id": null,
  "error_file_id": null,
  "created_at": 1711471533,
  "in_progress_at": null,
  "expires_at": null,
  "finalizing_at": null,
  "completed_at": null,
  "failed_at": null,
  "expired_at": null,
  "cancelling_at": null,
  "cancelled_at": null,
  "request_counts": {
    "total": 0,
    "completed": 0,
    "failed": 0
  },
  "metadata": {
    "customer_id": "user_123456789",
    "batch_description": "Nightly eval job",
  }
}
Returns Examples
{
  "id": "batch_abc123",
  "object": "batch",
  "endpoint": "/v1/chat/completions",
  "errors": null,
  "input_file_id": "file-abc123",
  "completion_window": "24h",
  "status": "validating",
  "output_file_id": null,
  "error_file_id": null,
  "created_at": 1711471533,
  "in_progress_at": null,
  "expires_at": null,
  "finalizing_at": null,
  "completed_at": null,
  "failed_at": null,
  "expired_at": null,
  "cancelling_at": null,
  "cancelled_at": null,
  "request_counts": {
    "total": 0,
    "completed": 0,
    "failed": 0
  },
  "metadata": {
    "customer_id": "user_123456789",
    "batch_description": "Nightly eval job",
  }
}