Batches
Create batch
client.Batches.New(ctx, body) (*Batch, error)
post /batches
Creates and executes a batch from an uploaded file of requests
Parameters
-
body BatchNewParams-
CompletionWindow param.Field[BatchNewParamsCompletionWindow]The time frame within which the batch should be processed. Currently only
24his supported.const BatchNewParamsCompletionWindow24h BatchNewParamsCompletionWindow = "24h"
-
Endpoint param.Field[BatchNewParamsEndpoint]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/videosare supported. Note that/v1/embeddingsbatches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch.-
const BatchNewParamsEndpointV1Responses BatchNewParamsEndpoint = "/v1/responses" -
const BatchNewParamsEndpointV1ChatCompletions BatchNewParamsEndpoint = "/v1/chat/completions" -
const BatchNewParamsEndpointV1Embeddings BatchNewParamsEndpoint = "/v1/embeddings" -
const BatchNewParamsEndpointV1Completions BatchNewParamsEndpoint = "/v1/completions" -
const BatchNewParamsEndpointV1Moderations BatchNewParamsEndpoint = "/v1/moderations" -
const BatchNewParamsEndpointV1ImagesGenerations BatchNewParamsEndpoint = "/v1/images/generations" -
const BatchNewParamsEndpointV1ImagesEdits BatchNewParamsEndpoint = "/v1/images/edits" -
const BatchNewParamsEndpointV1Videos BatchNewParamsEndpoint = "/v1/videos"
-
-
InputFileID param.Field[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 param.Field[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.
-
OutputExpiresAfter param.Field[BatchNewParamsOutputExpiresAfter]The expiration policy for the output and/or error file that are generated for a batch.
-
Anchor CreatedAtAnchor 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.const CreatedAtCreatedAt CreatedAt = "created_at"
-
Seconds int64The number of seconds after the anchor time that the file will expire. Must be between 3600 (1 hour) and 2592000 (30 days).
-
-
Returns
-
type Batch struct{…}-
ID string -
CompletionWindow stringThe time frame within which the batch should be processed.
-
CreatedAt int64The Unix timestamp (in seconds) for when the batch was created.
-
Endpoint stringThe OpenAI API endpoint used by the batch.
-
InputFileID stringThe ID of the input file for the batch.
-
Object BatchThe object type, which is always
batch.const BatchBatch Batch = "batch"
-
Status BatchStatusThe current status of the batch.
-
const BatchStatusValidating BatchStatus = "validating" -
const BatchStatusFailed BatchStatus = "failed" -
const BatchStatusInProgress BatchStatus = "in_progress" -
const BatchStatusFinalizing BatchStatus = "finalizing" -
const BatchStatusCompleted BatchStatus = "completed" -
const BatchStatusExpired BatchStatus = "expired" -
const BatchStatusCancelling BatchStatus = "cancelling" -
const BatchStatusCancelled BatchStatus = "cancelled"
-
-
CancelledAt int64The Unix timestamp (in seconds) for when the batch was cancelled.
-
CancellingAt int64The Unix timestamp (in seconds) for when the batch started cancelling.
-
CompletedAt int64The Unix timestamp (in seconds) for when the batch was completed.
-
ErrorFileID stringThe ID of the file containing the outputs of requests with errors.
-
Errors BatchErrors-
Data []BatchError-
Code stringAn error code identifying the error type.
-
Line int64The line number of the input file where the error occurred, if applicable.
-
Message stringA human-readable message providing more details about the error.
-
Param stringThe name of the parameter that caused the error, if applicable.
-
-
Object stringThe object type, which is always
list.
-
-
ExpiredAt int64The Unix timestamp (in seconds) for when the batch expired.
-
ExpiresAt int64The Unix timestamp (in seconds) for when the batch will expire.
-
FailedAt int64The Unix timestamp (in seconds) for when the batch failed.
-
FinalizingAt int64The Unix timestamp (in seconds) for when the batch started finalizing.
-
InProgressAt int64The Unix timestamp (in seconds) for when the batch started processing.
-
Metadata MetadataSet 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 stringModel 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. -
OutputFileID stringThe ID of the file containing the outputs of successfully executed requests.
-
RequestCounts BatchRequestCountsThe request counts for different statuses within the batch.
-
Completed int64Number of requests that have been completed successfully.
-
Failed int64Number of requests that have failed.
-
Total int64Total number of requests in the batch.
-
-
Usage BatchUsageRepresents 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.
-
InputTokens int64The number of input tokens.
-
InputTokensDetails BatchUsageInputTokensDetailsA detailed breakdown of the input tokens.
-
CachedTokens int64The number of tokens that were retrieved from the cache. More on prompt caching.
-
-
OutputTokens int64The number of output tokens.
-
OutputTokensDetails BatchUsageOutputTokensDetailsA detailed breakdown of the output tokens.
-
ReasoningTokens int64The number of reasoning tokens.
-
-
TotalTokens int64The total number of tokens used.
-
-
Example
package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithAPIKey("My API Key"),
)
batch, err := client.Batches.New(context.TODO(), openai.BatchNewParams{
CompletionWindow: openai.BatchNewParamsCompletionWindow24h,
Endpoint: openai.BatchNewParamsEndpointV1Responses,
InputFileID: "input_file_id",
})
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v\n", batch.ID)
}
Response
{
"id": "id",
"completion_window": "completion_window",
"created_at": 0,
"endpoint": "endpoint",
"input_file_id": "input_file_id",
"object": "batch",
"status": "validating",
"cancelled_at": 0,
"cancelling_at": 0,
"completed_at": 0,
"error_file_id": "error_file_id",
"errors": {
"data": [
{
"code": "code",
"line": 0,
"message": "message",
"param": "param"
}
],
"object": "object"
},
"expired_at": 0,
"expires_at": 0,
"failed_at": 0,
"finalizing_at": 0,
"in_progress_at": 0,
"metadata": {
"foo": "string"
},
"model": "model",
"output_file_id": "output_file_id",
"request_counts": {
"completed": 0,
"failed": 0,
"total": 0
},
"usage": {
"input_tokens": 0,
"input_tokens_details": {
"cached_tokens": 0
},
"output_tokens": 0,
"output_tokens_details": {
"reasoning_tokens": 0
},
"total_tokens": 0
}
}
Retrieve batch
client.Batches.Get(ctx, batchID) (*Batch, error)
get /batches/{batch_id}
Retrieves a batch.
Parameters
batchID string
Returns
-
type Batch struct{…}-
ID string -
CompletionWindow stringThe time frame within which the batch should be processed.
-
CreatedAt int64The Unix timestamp (in seconds) for when the batch was created.
-
Endpoint stringThe OpenAI API endpoint used by the batch.
-
InputFileID stringThe ID of the input file for the batch.
-
Object BatchThe object type, which is always
batch.const BatchBatch Batch = "batch"
-
Status BatchStatusThe current status of the batch.
-
const BatchStatusValidating BatchStatus = "validating" -
const BatchStatusFailed BatchStatus = "failed" -
const BatchStatusInProgress BatchStatus = "in_progress" -
const BatchStatusFinalizing BatchStatus = "finalizing" -
const BatchStatusCompleted BatchStatus = "completed" -
const BatchStatusExpired BatchStatus = "expired" -
const BatchStatusCancelling BatchStatus = "cancelling" -
const BatchStatusCancelled BatchStatus = "cancelled"
-
-
CancelledAt int64The Unix timestamp (in seconds) for when the batch was cancelled.
-
CancellingAt int64The Unix timestamp (in seconds) for when the batch started cancelling.
-
CompletedAt int64The Unix timestamp (in seconds) for when the batch was completed.
-
ErrorFileID stringThe ID of the file containing the outputs of requests with errors.
-
Errors BatchErrors-
Data []BatchError-
Code stringAn error code identifying the error type.
-
Line int64The line number of the input file where the error occurred, if applicable.
-
Message stringA human-readable message providing more details about the error.
-
Param stringThe name of the parameter that caused the error, if applicable.
-
-
Object stringThe object type, which is always
list.
-
-
ExpiredAt int64The Unix timestamp (in seconds) for when the batch expired.
-
ExpiresAt int64The Unix timestamp (in seconds) for when the batch will expire.
-
FailedAt int64The Unix timestamp (in seconds) for when the batch failed.
-
FinalizingAt int64The Unix timestamp (in seconds) for when the batch started finalizing.
-
InProgressAt int64The Unix timestamp (in seconds) for when the batch started processing.
-
Metadata MetadataSet 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 stringModel 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. -
OutputFileID stringThe ID of the file containing the outputs of successfully executed requests.
-
RequestCounts BatchRequestCountsThe request counts for different statuses within the batch.
-
Completed int64Number of requests that have been completed successfully.
-
Failed int64Number of requests that have failed.
-
Total int64Total number of requests in the batch.
-
-
Usage BatchUsageRepresents 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.
-
InputTokens int64The number of input tokens.
-
InputTokensDetails BatchUsageInputTokensDetailsA detailed breakdown of the input tokens.
-
CachedTokens int64The number of tokens that were retrieved from the cache. More on prompt caching.
-
-
OutputTokens int64The number of output tokens.
-
OutputTokensDetails BatchUsageOutputTokensDetailsA detailed breakdown of the output tokens.
-
ReasoningTokens int64The number of reasoning tokens.
-
-
TotalTokens int64The total number of tokens used.
-
-
Example
package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithAPIKey("My API Key"),
)
batch, err := client.Batches.Get(context.TODO(), "batch_id")
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v\n", batch.ID)
}
Response
{
"id": "id",
"completion_window": "completion_window",
"created_at": 0,
"endpoint": "endpoint",
"input_file_id": "input_file_id",
"object": "batch",
"status": "validating",
"cancelled_at": 0,
"cancelling_at": 0,
"completed_at": 0,
"error_file_id": "error_file_id",
"errors": {
"data": [
{
"code": "code",
"line": 0,
"message": "message",
"param": "param"
}
],
"object": "object"
},
"expired_at": 0,
"expires_at": 0,
"failed_at": 0,
"finalizing_at": 0,
"in_progress_at": 0,
"metadata": {
"foo": "string"
},
"model": "model",
"output_file_id": "output_file_id",
"request_counts": {
"completed": 0,
"failed": 0,
"total": 0
},
"usage": {
"input_tokens": 0,
"input_tokens_details": {
"cached_tokens": 0
},
"output_tokens": 0,
"output_tokens_details": {
"reasoning_tokens": 0
},
"total_tokens": 0
}
}
Cancel batch
client.Batches.Cancel(ctx, batchID) (*Batch, error)
post /batches/{batch_id}/cancel
Cancels an in-progress batch. The batch will be in status cancelling for up to 10 minutes, before changing to cancelled, where it will have partial results (if any) available in the output file.
Parameters
batchID string
Returns
-
type Batch struct{…}-
ID string -
CompletionWindow stringThe time frame within which the batch should be processed.
-
CreatedAt int64The Unix timestamp (in seconds) for when the batch was created.
-
Endpoint stringThe OpenAI API endpoint used by the batch.
-
InputFileID stringThe ID of the input file for the batch.
-
Object BatchThe object type, which is always
batch.const BatchBatch Batch = "batch"
-
Status BatchStatusThe current status of the batch.
-
const BatchStatusValidating BatchStatus = "validating" -
const BatchStatusFailed BatchStatus = "failed" -
const BatchStatusInProgress BatchStatus = "in_progress" -
const BatchStatusFinalizing BatchStatus = "finalizing" -
const BatchStatusCompleted BatchStatus = "completed" -
const BatchStatusExpired BatchStatus = "expired" -
const BatchStatusCancelling BatchStatus = "cancelling" -
const BatchStatusCancelled BatchStatus = "cancelled"
-
-
CancelledAt int64The Unix timestamp (in seconds) for when the batch was cancelled.
-
CancellingAt int64The Unix timestamp (in seconds) for when the batch started cancelling.
-
CompletedAt int64The Unix timestamp (in seconds) for when the batch was completed.
-
ErrorFileID stringThe ID of the file containing the outputs of requests with errors.
-
Errors BatchErrors-
Data []BatchError-
Code stringAn error code identifying the error type.
-
Line int64The line number of the input file where the error occurred, if applicable.
-
Message stringA human-readable message providing more details about the error.
-
Param stringThe name of the parameter that caused the error, if applicable.
-
-
Object stringThe object type, which is always
list.
-
-
ExpiredAt int64The Unix timestamp (in seconds) for when the batch expired.
-
ExpiresAt int64The Unix timestamp (in seconds) for when the batch will expire.
-
FailedAt int64The Unix timestamp (in seconds) for when the batch failed.
-
FinalizingAt int64The Unix timestamp (in seconds) for when the batch started finalizing.
-
InProgressAt int64The Unix timestamp (in seconds) for when the batch started processing.
-
Metadata MetadataSet 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 stringModel 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. -
OutputFileID stringThe ID of the file containing the outputs of successfully executed requests.
-
RequestCounts BatchRequestCountsThe request counts for different statuses within the batch.
-
Completed int64Number of requests that have been completed successfully.
-
Failed int64Number of requests that have failed.
-
Total int64Total number of requests in the batch.
-
-
Usage BatchUsageRepresents 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.
-
InputTokens int64The number of input tokens.
-
InputTokensDetails BatchUsageInputTokensDetailsA detailed breakdown of the input tokens.
-
CachedTokens int64The number of tokens that were retrieved from the cache. More on prompt caching.
-
-
OutputTokens int64The number of output tokens.
-
OutputTokensDetails BatchUsageOutputTokensDetailsA detailed breakdown of the output tokens.
-
ReasoningTokens int64The number of reasoning tokens.
-
-
TotalTokens int64The total number of tokens used.
-
-
Example
package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithAPIKey("My API Key"),
)
batch, err := client.Batches.Cancel(context.TODO(), "batch_id")
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v\n", batch.ID)
}
Response
{
"id": "id",
"completion_window": "completion_window",
"created_at": 0,
"endpoint": "endpoint",
"input_file_id": "input_file_id",
"object": "batch",
"status": "validating",
"cancelled_at": 0,
"cancelling_at": 0,
"completed_at": 0,
"error_file_id": "error_file_id",
"errors": {
"data": [
{
"code": "code",
"line": 0,
"message": "message",
"param": "param"
}
],
"object": "object"
},
"expired_at": 0,
"expires_at": 0,
"failed_at": 0,
"finalizing_at": 0,
"in_progress_at": 0,
"metadata": {
"foo": "string"
},
"model": "model",
"output_file_id": "output_file_id",
"request_counts": {
"completed": 0,
"failed": 0,
"total": 0
},
"usage": {
"input_tokens": 0,
"input_tokens_details": {
"cached_tokens": 0
},
"output_tokens": 0,
"output_tokens_details": {
"reasoning_tokens": 0
},
"total_tokens": 0
}
}
List batches
client.Batches.List(ctx, query) (*CursorPage[Batch], error)
get /batches
List your organization's batches.
Parameters
-
query BatchListParams-
After param.Field[string]A cursor for use in pagination.
afteris an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list. -
Limit param.Field[int64]A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.
-
Returns
-
type Batch struct{…}-
ID string -
CompletionWindow stringThe time frame within which the batch should be processed.
-
CreatedAt int64The Unix timestamp (in seconds) for when the batch was created.
-
Endpoint stringThe OpenAI API endpoint used by the batch.
-
InputFileID stringThe ID of the input file for the batch.
-
Object BatchThe object type, which is always
batch.const BatchBatch Batch = "batch"
-
Status BatchStatusThe current status of the batch.
-
const BatchStatusValidating BatchStatus = "validating" -
const BatchStatusFailed BatchStatus = "failed" -
const BatchStatusInProgress BatchStatus = "in_progress" -
const BatchStatusFinalizing BatchStatus = "finalizing" -
const BatchStatusCompleted BatchStatus = "completed" -
const BatchStatusExpired BatchStatus = "expired" -
const BatchStatusCancelling BatchStatus = "cancelling" -
const BatchStatusCancelled BatchStatus = "cancelled"
-
-
CancelledAt int64The Unix timestamp (in seconds) for when the batch was cancelled.
-
CancellingAt int64The Unix timestamp (in seconds) for when the batch started cancelling.
-
CompletedAt int64The Unix timestamp (in seconds) for when the batch was completed.
-
ErrorFileID stringThe ID of the file containing the outputs of requests with errors.
-
Errors BatchErrors-
Data []BatchError-
Code stringAn error code identifying the error type.
-
Line int64The line number of the input file where the error occurred, if applicable.
-
Message stringA human-readable message providing more details about the error.
-
Param stringThe name of the parameter that caused the error, if applicable.
-
-
Object stringThe object type, which is always
list.
-
-
ExpiredAt int64The Unix timestamp (in seconds) for when the batch expired.
-
ExpiresAt int64The Unix timestamp (in seconds) for when the batch will expire.
-
FailedAt int64The Unix timestamp (in seconds) for when the batch failed.
-
FinalizingAt int64The Unix timestamp (in seconds) for when the batch started finalizing.
-
InProgressAt int64The Unix timestamp (in seconds) for when the batch started processing.
-
Metadata MetadataSet 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 stringModel 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. -
OutputFileID stringThe ID of the file containing the outputs of successfully executed requests.
-
RequestCounts BatchRequestCountsThe request counts for different statuses within the batch.
-
Completed int64Number of requests that have been completed successfully.
-
Failed int64Number of requests that have failed.
-
Total int64Total number of requests in the batch.
-
-
Usage BatchUsageRepresents 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.
-
InputTokens int64The number of input tokens.
-
InputTokensDetails BatchUsageInputTokensDetailsA detailed breakdown of the input tokens.
-
CachedTokens int64The number of tokens that were retrieved from the cache. More on prompt caching.
-
-
OutputTokens int64The number of output tokens.
-
OutputTokensDetails BatchUsageOutputTokensDetailsA detailed breakdown of the output tokens.
-
ReasoningTokens int64The number of reasoning tokens.
-
-
TotalTokens int64The total number of tokens used.
-
-
Example
package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
)
func main() {
client := openai.NewClient(
option.WithAPIKey("My API Key"),
)
page, err := client.Batches.List(context.TODO(), openai.BatchListParams{
})
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v\n", page)
}
Response
{
"data": [
{
"id": "id",
"completion_window": "completion_window",
"created_at": 0,
"endpoint": "endpoint",
"input_file_id": "input_file_id",
"object": "batch",
"status": "validating",
"cancelled_at": 0,
"cancelling_at": 0,
"completed_at": 0,
"error_file_id": "error_file_id",
"errors": {
"data": [
{
"code": "code",
"line": 0,
"message": "message",
"param": "param"
}
],
"object": "object"
},
"expired_at": 0,
"expires_at": 0,
"failed_at": 0,
"finalizing_at": 0,
"in_progress_at": 0,
"metadata": {
"foo": "string"
},
"model": "model",
"output_file_id": "output_file_id",
"request_counts": {
"completed": 0,
"failed": 0,
"total": 0
},
"usage": {
"input_tokens": 0,
"input_tokens_details": {
"cached_tokens": 0
},
"output_tokens": 0,
"output_tokens_details": {
"reasoning_tokens": 0
},
"total_tokens": 0
}
}
],
"has_more": true,
"object": "list",
"first_id": "batch_abc123",
"last_id": "batch_abc456"
}
Domain Types
Batch
-
type Batch struct{…}-
ID string -
CompletionWindow stringThe time frame within which the batch should be processed.
-
CreatedAt int64The Unix timestamp (in seconds) for when the batch was created.
-
Endpoint stringThe OpenAI API endpoint used by the batch.
-
InputFileID stringThe ID of the input file for the batch.
-
Object BatchThe object type, which is always
batch.const BatchBatch Batch = "batch"
-
Status BatchStatusThe current status of the batch.
-
const BatchStatusValidating BatchStatus = "validating" -
const BatchStatusFailed BatchStatus = "failed" -
const BatchStatusInProgress BatchStatus = "in_progress" -
const BatchStatusFinalizing BatchStatus = "finalizing" -
const BatchStatusCompleted BatchStatus = "completed" -
const BatchStatusExpired BatchStatus = "expired" -
const BatchStatusCancelling BatchStatus = "cancelling" -
const BatchStatusCancelled BatchStatus = "cancelled"
-
-
CancelledAt int64The Unix timestamp (in seconds) for when the batch was cancelled.
-
CancellingAt int64The Unix timestamp (in seconds) for when the batch started cancelling.
-
CompletedAt int64The Unix timestamp (in seconds) for when the batch was completed.
-
ErrorFileID stringThe ID of the file containing the outputs of requests with errors.
-
Errors BatchErrors-
Data []BatchError-
Code stringAn error code identifying the error type.
-
Line int64The line number of the input file where the error occurred, if applicable.
-
Message stringA human-readable message providing more details about the error.
-
Param stringThe name of the parameter that caused the error, if applicable.
-
-
Object stringThe object type, which is always
list.
-
-
ExpiredAt int64The Unix timestamp (in seconds) for when the batch expired.
-
ExpiresAt int64The Unix timestamp (in seconds) for when the batch will expire.
-
FailedAt int64The Unix timestamp (in seconds) for when the batch failed.
-
FinalizingAt int64The Unix timestamp (in seconds) for when the batch started finalizing.
-
InProgressAt int64The Unix timestamp (in seconds) for when the batch started processing.
-
Metadata MetadataSet 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 stringModel 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. -
OutputFileID stringThe ID of the file containing the outputs of successfully executed requests.
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RequestCounts BatchRequestCountsThe request counts for different statuses within the batch.
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Completed int64Number of requests that have been completed successfully.
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Failed int64Number of requests that have failed.
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Total int64Total number of requests in the batch.
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Usage BatchUsageRepresents 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.
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InputTokens int64The number of input tokens.
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InputTokensDetails BatchUsageInputTokensDetailsA detailed breakdown of the input tokens.
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CachedTokens int64The number of tokens that were retrieved from the cache. More on prompt caching.
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OutputTokens int64The number of output tokens.
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OutputTokensDetails BatchUsageOutputTokensDetailsA detailed breakdown of the output tokens.
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ReasoningTokens int64The number of reasoning tokens.
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TotalTokens int64The total number of tokens used.
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Batch Error
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type BatchError struct{…}-
Code stringAn error code identifying the error type.
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Line int64The line number of the input file where the error occurred, if applicable.
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Message stringA human-readable message providing more details about the error.
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Param stringThe name of the parameter that caused the error, if applicable.
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Batch Request Counts
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type BatchRequestCounts struct{…}The request counts for different statuses within the batch.
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Completed int64Number of requests that have been completed successfully.
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Failed int64Number of requests that have failed.
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Total int64Total number of requests in the batch.
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Batch Usage
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type BatchUsage struct{…}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.
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InputTokens int64The number of input tokens.
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InputTokensDetails BatchUsageInputTokensDetailsA detailed breakdown of the input tokens.
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CachedTokens int64The number of tokens that were retrieved from the cache. More on prompt caching.
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OutputTokens int64The number of output tokens.
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OutputTokensDetails BatchUsageOutputTokensDetailsA detailed breakdown of the output tokens.
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ReasoningTokens int64The number of reasoning tokens.
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TotalTokens int64The total number of tokens used.
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