> ## Documentation Index > Fetch the complete documentation index at: https://docs.fireworks.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get Account Usage ## OpenAPI ````yaml get /v1/accounts/{account_id}/billingUsage openapi: 3.1.0 info: title: Gateway REST API version: 4.259.0 servers: - url: https://api.fireworks.ai security: - BearerAuth: [] tags: - name: Gateway paths: /v1/accounts/{account_id}/billingUsage: get: tags: - Gateway summary: Get Account Usage operationId: Gateway_GetAccountUsage parameters: - name: startTime description: |- Costs returned are inclusive of `start_time`. start_time must be before end_time. in: query required: true schema: type: string format: date-time - name: endTime description: |- Costs returned are exclusive of `end_time`. end_time must not be more than 31 days after start_time. in: query required: true schema: type: string format: date-time - name: usageType description: >- Usage type to query usage for. If not specified, returns all usage types (serverless, dedicated deployments, and training). - USAGE_TYPE_UNSPECIFIED: Default value. When specified (or when usage_type field is not set), returns usage data for all deployment types: serverless requests, dedicated deployments, and training jobs. - SERVERLESS: Returns only serverless usage data. Filters the response to include only usage from serverless API requests. - DEDICATED_DEPLOYMENT: Returns only dedicated deployment usage data. Filters the response to include only usage from dedicated deployments. - TRAINING: Returns only training job usage data (SFT/DPO token usage and RFT / service-mode trainer GPU-seconds usage). Inference deployments serving rollouts for RFT / online RL are reported under DEDICATED_DEPLOYMENT (not TRAINING) to avoid double counting GPU time. in: query required: false schema: type: string enum: - USAGE_TYPE_UNSPECIFIED - SERVERLESS - DEDICATED_DEPLOYMENT - TRAINING default: USAGE_TYPE_UNSPECIFIED - name: timezone description: >- IANA timezone identifier for daily aggregation (e.g., "America/Los_Angeles", "Europe/London"). When specified, the returned data will be aggregated into daily buckets based on this timezone. If not specified or empty, defaults to "UTC". See: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones in: query required: false schema: type: string - name: groupBy description: >- Dimensions to group usage by (multiple values allowed; each is a separate GROUP BY column). Each returned bucket carries the requested dimension values in the `group` map on the response item. Serverless: "model_name", "api_key_id", "api_key_name", "annotations.team", "annotations.project", "annotations.environment". Dedicated: "deployment_name", "accelerator_type", and the same annotation keys. Training: "job_id", "job_type", "usage_type", "accelerator_type", "base_model", and the same annotation keys. When usage_type is unspecified, dimensions that apply only to one stream are ignored on the others (e.g. "deployment_name" is ignored for serverless and training; "model_name" / "api_key_id" / "api_key_name" are ignored for dedicated and training; "job_id" / "job_type" are ignored for serverless and dedicated). Example: ["annotations.team", "model_name"] or ["api_key_id", "api_key_name"]. If empty: serverless aggregates by model name; dedicated defaults to deployment and accelerator type; training aggregates by job_id, job_type, usage_type, accelerator_type and base_model. in: query required: false explode: true schema: type: array maxItems: 5 items: type: string - name: filter description: >- Filter usage by dimension. Map query parameter — encode each entry as `filter[][values]=`, repeating the same key to OR multiple values for a single dimension. Serverless: "model_name", "api_key_id", "api_key_name", "annotations.team", "annotations.project", "annotations.environment". Dedicated: "deployment_name", "accelerator_type", and the same annotation keys. Training: "job_id", "job_type", "usage_type", "accelerator_type", "base_model", and the same annotation keys. Example: `filter[api_key_name][values]=prod-key&filter[api_key_name][values]=staging-key`. in: query required: false style: deepObject explode: true schema: type: object additionalProperties: type: object properties: values: type: array items: type: string - name: account_id in: path required: true description: The Account Id schema: type: string responses: '200': description: A successful response. content: application/json: schema: $ref: '#/components/schemas/gatewayAccountUsage' components: schemas: gatewayAccountUsage: type: object properties: serverlessCosts: type: array items: $ref: '#/components/schemas/AccountUsageServerlessUsage' type: object title: List of serverless cost data dedicatedCosts: type: array items: $ref: '#/components/schemas/AccountUsageDedicatedDeploymentUsage' type: object title: List of dedicated deployment cost data title: Response with model costs by deployment type AccountUsageServerlessUsage: type: object properties: modelName: type: string description: 'Deprecated: use group["model_name"] instead.' promptTokens: type: string format: int64 title: Number of prompt tokens (for text inference) completionTokens: type: string format: int64 title: Number of completion tokens (for text inference) startTime: type: string format: date-time title: >- Start timestamp of the usage. Note: Serverless usage events are aggregated daily. Only the date portion (YYYY-MM-DD) is used; endTime: type: string format: date-time title: >- End timestamp of the usage. Note: Serverless usage events are aggregated daily. Only the date portion (YYYY-MM-DD) is used; audioInputSeconds: type: number format: double title: Audio input seconds (for audio inference) usageType: type: string title: Usage type to distinguish between different inference types apiKeyId: type: string description: 'Deprecated: use group["api_key_id"] instead.' group: type: object additionalProperties: type: string description: >- Group-by dimension key-values (model_name, api_key_id, team, project, environment). description: One serverless usage aggregation bucket. AccountUsageDedicatedDeploymentUsage: type: object properties: deploymentId: type: string title: The deployment ID acceleratorType: type: string title: GPU type / accelerator type acceleratorSeconds: type: string format: int64 title: Accelerator seconds startTime: type: string format: date-time description: >- Start timestamp of the usage. Note: Dedicated deployment usage events are aggregated daily. Only the date portion (YYYY-MM-DD) is used; the time portion is ignored. endTime: type: string format: date-time description: >- End timestamp of the usage. Note: Dedicated deployment usage events are aggregated daily. Only the date portion (YYYY-MM-DD) is used; the time portion is ignored. baseModel: type: string title: Base model of the deployment usageType: type: string title: Usage type to distinguish between different deployment types placement: type: string description: >- Deployment placement as a string (e.g. US_IOWA_1, GLOBAL, US, EUROPE). Set to REGION_UNSPECIFIED when unknown. group: type: object additionalProperties: type: string description: >- Group-by dimension key-values (deployment_name, accelerator_type, team, project, environment). description: One dedicated deployment usage aggregation bucket. securitySchemes: BearerAuth: type: http scheme: bearer description: >- Bearer authentication using your Fireworks API key. Format: Bearer bearerFormat: API_KEY ````