PublicEndpoint - OpenRouter

Information about a specific model endpoint

Fields

Field	Type	Required	Description	Example
`context_length`	int	✅	N/A
`latency_last_30m`	Nullable[components.PercentileStats]	✅	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.	{ “p50”: 25.5, “p75”: 35.2, “p90”: 48.7, “p99”: 85.3 }
`max_completion_tokens`	Nullable[int]	✅	Maximum completion tokens for this endpoint. Input and output tokens share the context window, so the effective maximum output for a request is further limited by the context remaining after input tokens.
`max_prompt_tokens`	Nullable[int]	✅	N/A
`model_id`	str	✅	The unique identifier for the model (permaslug)	openai/gpt-4
`model_name`	str	✅	N/A
`name`	str	✅	N/A
`native_tools`	Dict[str, components.NativeTools]	✅	The server tools this endpoint accepts as the provider’s own built-in tool (`engine: "native"`) instead of an OpenRouter engine, keyed by canonical `openrouter:*` name. Each value names the provider tool type the request is translated to. Where that tool runs (provider-side, or returned to the client as with Anthropic bash) is documented per tool. Empty when the provider has none.	{ “openrouter:web_search”: { “type”: “web_search_20260209” } }
`perf_last_30m_by_workload`	Optional[components.PerfLast30mByWorkload]	➖	Endpoint performance over the last 30 minutes, keyed by the kind of request served (e.g. `text_generation`, `image_generation`). Additive to the legacy singular latency and throughput fields; image and video generation report end-to-end latency. Only visible when authenticated with an API key or cookie.
`pricing`	components.Pricing	✅	N/A
`provider_name`	components.ProviderName	✅	N/A	OpenAI
`quantization`	Nullable[components.Quantization]	✅	N/A	fp16
`status`	Optional[components.EndpointStatus]	➖	N/A	0
`supported_parameters`	List[components.Parameter]	✅	N/A
`supports_image_reference`	Optional[bool]	➖	Whether this TTS endpoint accepts an `image_url` reference describing the desired voice. Requests carrying an image reference are only routed to endpoints where this is true.
`supports_implicit_caching`	bool	✅	N/A
`supports_multiple_audio_references`	Optional[bool]	➖	Whether this TTS endpoint accepts more than one `input_audio` reference clip per request. Requests carrying several clips are only routed to endpoints where this is true.
`supports_tool_choice`	components.ToolChoiceSupport	✅	Per-variant `tool_choice` support. `tool_choice` in `supported_parameters` only says the parameter is accepted; these flags say which of its values passed testing.	{ “auto”: true, “function”: true, “none”: true, “required”: true }
`supports_voice_cloning`	Optional[bool]	➖	Whether this TTS endpoint accepts inline reference audio (`input_references`) for stateless voice cloning. Requests carrying reference audio are only routed to endpoints where this is true.
`tag`	str	✅	N/A
`throughput_last_30m`	Nullable[components.PercentileStats]	✅	N/A	{ “p50”: 25.5, “p75”: 35.2, “p90”: 48.7, “p99”: 85.3 }
`uptime_last_1d`	Nullable[float]	✅	Uptime percentage over the last day: the share of minutes in which at least 80% of provider attempts succeeded, counting only minutes with 10 or more attempts. Rate-limited and caller-caused failures are excluded. Null when no minute had enough traffic.
`uptime_last_30m`	Nullable[float]	✅	N/A
`uptime_last_5m`	Nullable[float]	✅	Uptime percentage over the last 5 minutes: the share of minutes in which at least 80% of provider attempts succeeded, counting only minutes with 10 or more attempts. Rate-limited and caller-caused failures are excluded. Null when no minute had enough traffic.

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