> ## Documentation Index > Fetch the complete documentation index at: https://opentouter.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Preview the impact of ZDR on the available endpoints ## OpenAPI ````yaml /openapi/openapi.yaml get /endpoints/zdr openapi: 3.1.0 info: contact: email: support@openrouter.ai name: OpenRouter Support url: https://openrouter.ai/docs description: OpenAI-compatible API with additional OpenRouter features license: name: MIT url: https://opensource.org/licenses/MIT title: OpenRouter API version: 1.0.0 servers: - description: Production server url: https://openrouter.ai/api/v1 x-speakeasy-server-id: production security: - apiKey: [] tags: - description: API key management endpoints name: API Keys - description: Analytics and usage endpoints name: Analytics - description: Anthropic Messages endpoints name: Anthropic Messages - description: BYOK endpoints name: BYOK - description: Benchmarks endpoints name: Benchmarks - description: Chat completion endpoints name: Chat - description: Task classification market-share endpoints name: Classifications - description: Credit management endpoints name: Credits - description: Datasets endpoints name: Datasets - description: Text embedding endpoints name: Embeddings - description: Endpoint information name: Endpoints - description: Files endpoints name: Files - description: Generation history endpoints name: Generations - description: Guardrails endpoints name: Guardrails - description: Images endpoints name: Images - description: Model information endpoints name: Models - description: OAuth authentication endpoints name: OAuth - description: Observability endpoints name: Observability - description: Organization endpoints name: Organization - description: Presets endpoints name: Presets - description: Provider information endpoints name: Providers - description: Rerank endpoints name: Rerank - description: Speech-to-text endpoints name: STT x-displayName: Transcriptions - description: Text-to-speech endpoints name: TTS x-displayName: Speech - description: Video Generation endpoints name: Video Generation - description: Workspaces endpoints name: Workspaces - description: beta.Analytics endpoints name: beta.Analytics - description: beta.responses endpoints name: beta.responses externalDocs: description: OpenRouter Documentation url: https://openrouter.ai/docs paths: /endpoints/zdr: get: tags: - Endpoints summary: Preview the impact of ZDR on the available endpoints operationId: listEndpointsZdr responses: '200': content: application/json: example: data: - context_length: 8192 latency_last_30m: p50: 0.25 p75: 0.35 p90: 0.48 p99: 0.85 max_completion_tokens: 4096 max_prompt_tokens: 8192 model_id: openai/gpt-4 model_name: GPT-4 name: 'OpenAI: GPT-4' pricing: completion: '0.00006' image: '0' prompt: '0.00003' request: '0' provider_name: OpenAI quantization: fp16 status: default supported_parameters: - temperature - top_p - max_tokens supports_implicit_caching: true tag: openai throughput_last_30m: p50: 45.2 p75: 38.5 p90: 28.3 p99: 15.1 uptime_last_1d: 99.8 uptime_last_30m: 99.5 uptime_last_5m: 100 schema: example: data: - context_length: 8192 latency_last_30m: p50: 0.25 p75: 0.35 p90: 0.48 p99: 0.85 max_completion_tokens: 4096 max_prompt_tokens: 8192 model_id: openai/gpt-4 model_name: GPT-4 name: 'OpenAI: GPT-4' pricing: completion: '0.00006' image: '0' prompt: '0.00003' request: '0' provider_name: OpenAI quantization: fp16 status: default supported_parameters: - temperature - top_p - max_tokens supports_implicit_caching: true tag: openai throughput_last_30m: p50: 45.2 p75: 38.5 p90: 28.3 p99: 15.1 uptime_last_1d: 99.8 uptime_last_30m: 99.5 uptime_last_5m: 100 properties: data: items: $ref: '#/components/schemas/PublicEndpoint' type: array required: - data type: object description: Returns a list of endpoints '500': content: application/json: example: error: code: 500 message: Internal Server Error schema: $ref: '#/components/schemas/InternalServerResponse' description: Internal Server Error - Unexpected server error components: schemas: PublicEndpoint: description: Information about a specific model endpoint example: context_length: 8192 latency_last_30m: p50: 0.25 p75: 0.35 p90: 0.48 p99: 0.85 max_completion_tokens: 4096 max_prompt_tokens: 8192 model_id: openai/gpt-4 model_name: GPT-4 name: 'OpenAI: GPT-4' pricing: completion: '0.00006' image: '0' prompt: '0.00003' request: '0' provider_name: OpenAI quantization: fp16 status: 0 supported_parameters: - temperature - top_p - max_tokens supports_implicit_caching: true tag: openai throughput_last_30m: p50: 45.2 p75: 38.5 p90: 28.3 p99: 15.1 uptime_last_1d: 99.8 uptime_last_30m: 99.5 uptime_last_5m: 100 properties: context_length: type: integer latency_last_30m: $ref: '#/components/schemas/PercentileStats' max_completion_tokens: nullable: true type: integer max_prompt_tokens: nullable: true type: integer model_id: description: The unique identifier for the model (permaslug) example: openai/gpt-4 type: string model_name: type: string name: type: string pricing: properties: audio: description: Price in USD per audio input token type: string audio_output: description: Price in USD per audio output token type: string completion: description: Price in USD per token for completion (output) generation type: string discount: description: >- Fractional discount applied to this endpoint's pricing; the price is multiplied by (1 - discount) (0 = no discount, 1 = free) format: double type: number image: description: Price in USD per input image type: string image_output: description: Price in USD per output image type: string image_token: description: Price in USD per image token type: string input_audio_cache: description: Price in USD per cached audio input token type: string input_cache_read: description: Price in USD per cached input token (read) type: string input_cache_write: description: >- Price per cache-write token, in USD per token. For providers with multiple cache TTLs (e.g. Anthropic), this is the default (5-minute) cache-write rate. type: string input_cache_write_1h: description: >- Price per 1-hour cache-write token, in USD per token. Only present for providers that price an extended (1-hour) cache TTL separately, such as Anthropic. type: string internal_reasoning: description: Price in USD per internal reasoning token type: string prompt: description: Price in USD per token for prompt (input) processing type: string request: description: Price in USD per request type: string web_search: description: Price in USD per web search type: string required: - prompt - completion type: object provider_name: $ref: '#/components/schemas/ProviderName' quantization: allOf: - $ref: '#/components/schemas/Quantization' - nullable: true status: $ref: '#/components/schemas/EndpointStatus' supported_parameters: items: $ref: '#/components/schemas/Parameter' type: array supports_implicit_caching: type: boolean tag: type: string throughput_last_30m: allOf: - $ref: '#/components/schemas/PercentileStats' - description: >- Throughput percentiles in tokens per second over the last 30 minutes. Throughput measures output token generation speed. Only visible when authenticated with an API key or cookie; returns null for unauthenticated requests. uptime_last_1d: description: >- Uptime percentage over the last 1 day, calculated as successful requests / (successful + error requests) * 100. Rate-limited requests are excluded. Returns null if insufficient data. format: double nullable: true type: number uptime_last_30m: format: double nullable: true type: number uptime_last_5m: description: >- Uptime percentage over the last 5 minutes, calculated as successful requests / (successful + error requests) * 100. Rate-limited requests are excluded. Returns null if insufficient data. format: double nullable: true type: number required: - name - model_id - model_name - context_length - pricing - provider_name - tag - quantization - max_completion_tokens - max_prompt_tokens - supported_parameters - uptime_last_30m - uptime_last_5m - uptime_last_1d - supports_implicit_caching - latency_last_30m - throughput_last_30m type: object InternalServerResponse: description: Internal Server Error - Unexpected server error example: error: code: 500 message: Internal Server Error properties: error: $ref: '#/components/schemas/InternalServerResponseErrorData' openrouter_metadata: additionalProperties: nullable: true nullable: true type: object user_id: nullable: true type: string required: - error type: object PercentileStats: description: >- Latency percentiles in milliseconds over the last 30 minutes. Latency measures time to first token. Only visible when authenticated with an API key or cookie; returns null for unauthenticated requests. example: p50: 25.5 p75: 35.2 p90: 48.7 p99: 85.3 nullable: true properties: p50: description: Median (50th percentile) example: 25.5 format: double type: number p75: description: 75th percentile example: 35.2 format: double type: number p90: description: 90th percentile example: 48.7 format: double type: number p99: description: 99th percentile example: 85.3 format: double type: number required: - p50 - p75 - p90 - p99 type: object ProviderName: enum: - AkashML - AI21 - AionLabs - Alibaba - Ambient - Baidu - Amazon Bedrock - Amazon Nova - Anthropic - Arcee AI - AtlasCloud - Avian - Azure - BaseTen - BytePlus - Black Forest Labs - Cerebras - Chutes - Cirrascale - Clarifai - Cloudflare - Cohere - Crucible - Crusoe - Darkbloom - Decart - DeepInfra - DeepSeek - DekaLLM - DigitalOcean - Featherless - Fireworks - Friendli - GMICloud - Google - Google AI Studio - Groq - HeyGen - Inception - Inceptron - InferenceNet - Ionstream - Infermatic - Io Net - Inferact vLLM - Inflection - Liquid - Mara - Mancer 2 - Minimax - ModelRun - Mistral - Modular - Moonshot AI - Morph - NCompass - Nebius - Nex AGI - NextBit - Novita - Nvidia - OpenAI - OpenInference - Parasail - Poolside - Perceptron - Perplexity - Phala - Recraft - Reka - Relace - Sakana AI - SambaNova - Seed - SiliconFlow - Sourceful - StepFun - Stealth - StreamLake - Switchpoint - Tenstorrent - Together - Upstage - Venice - Wafer - WandB - Quiver - Xiaomi - xAI - Z.AI - FakeProvider example: OpenAI type: string Quantization: enum: - int4 - int8 - fp4 - fp6 - fp8 - fp16 - bf16 - fp32 - unknown example: fp16 type: string EndpointStatus: enum: - 0 - -1 - -2 - -3 - -5 - -10 example: 0 type: integer Parameter: enum: - temperature - top_p - top_k - min_p - top_a - frequency_penalty - presence_penalty - repetition_penalty - max_tokens - max_completion_tokens - logit_bias - logprobs - top_logprobs - seed - response_format - structured_outputs - stop - tools - tool_choice - parallel_tool_calls - include_reasoning - reasoning - reasoning_effort - web_search_options - verbosity example: temperature type: string InternalServerResponseErrorData: description: Error data for InternalServerResponse example: code: 500 message: Internal Server Error properties: code: type: integer message: type: string metadata: additionalProperties: nullable: true nullable: true type: object required: - code - message type: object securitySchemes: apiKey: description: API key as bearer token in Authorization header scheme: bearer type: http ````