openrouter/auto

Name: Auto Router
Author: Openrouter

Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit [Activity](/activity), or read the `model` att...

Input⌘ / Ctrl + Enter

Try a prompt

Prompt

Image URL or upload

Upload

2M max outputVision

OutputReady

Your response will appear here

Choose an example or write a prompt, then click Run.

API details and access

Model Details

ProviderOpenrouter

TypeLlm

Model IDopenrouter/auto

Capabilities

InputTextImage

OutputText

Context-

Max Output2,000,000

VisionSupported

Function CallingSupported

Access details

Chat Completions

Base URLhttps://api.sandbase.ai

API Endpoint/v1/chat/completions

{
  "model": "openrouter/auto",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ],
  "max_tokens": 512
}

Pricing

Pricing is not configured for this model.

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/chat/completions

Model IDopenrouter/auto

Input Schema

13 parameters · 1 required · 12 optional

Parameter	Type	Required	Description
`messages`	object[]	Required	—
`seed`	integer	Optional	—
`stop`	string[]	Optional	—
`tools`	array	Optional	—
`top_k`	integer	Optional	Min: 0
`top_p`	number	Optional	Min: 0 · Max: 1
`stream`	boolean	Optional	Default: false
`max_tokens`	integer	Optional	Max: 2000000
`temperature`	number	Optional	Min: 0 · Max: 2 · Default: 1
`tool_choice`	string	Optional	—
`response_format`	object	Optional	—
`presence_penalty`	number	Optional	Min: -2 · Max: 2
`frequency_penalty`	number	Optional	Min: -2 · Max: 2

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the completion
`object`	string	Object type, e.g. "chat.completion"
`model`	string	Model used for the completion
`choices`	array	List of completion choices
`choices[].message.content`	string	Generated text content
`choices[].finish_reason`	string	Reason the generation stopped
`usage.prompt_tokens`	integer	Number of tokens in the prompt
`usage.completion_tokens`	integer	Number of tokens in the completion
`usage.total_tokens`	integer	Total tokens used

Code Examples

Ready-to-run snippets

curl https://api.sandbase.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "openrouter/auto",
    "messages": [{"role": "user", "content": "Hello"}],
    "temperature": 0.7,
    "max_tokens": 2048,
    "stream": true
  }'

← Back to Auto Router

Related Models

openrouter/bodybuilderTransform your natural language requests into structured OpenRouter API request objects. Describe what you want to accomplish with AI models, and Body Builder will construct the appropriate API calls. Example: "count to 10 using gemini and opus." This is useful for creating multi-model requests, custom model routers, or programmatic generation of API calls from human descriptions. **BETA NOTICE**: Body Builder is in beta, and currently free. Pricing and functionality may change in the future.openrouter/fusionFusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a judge model synthesizes their responses into a structured analysis — consensus, contradictions, partial coverage, unique insights, and blind spots — and writes the final answer from it. By default the panel is the `Quality` preset; switch to `Budget` for cheaper members, or override the panel and judge entirely with the fusion plugin's `analysis_models` and `model` fields. Reach for Fusion when a single model isn't enough — research, expert critique, or anywhere the cost of being wrong outweighs a few extra completions. Because Fusion runs every panel member plus a judge call, your request is priced as the sum of those underlying completions rather than a single model. To see which models ran, visit [Activity](/activity). Learn more in our [docs](/docs/guides/features/plugins/fusion). For another way to route, see the [Auto Router](/openrouter/auto).openrouter/pareto-codeThe Pareto Router maintains a tiered shortlist of strong coding models, ranked by [Artificial Analysis](https://artificialanalysis.ai/) coding percentiles. Set min_coding_score between 0 and 1 on the [pareto-router plugin](https://openrouter.ai/docs/guides/routing/routers/pareto-router#the-min_coding_score-parameter) to control how strong a coder you need; higher scores select stronger (and typically more expensive) models. If you omit min_coding_score, the router defaults to the High tier. Selecting Nitro from the variant dropdown ranks the models in your tier by measured throughput and routes each request to the fastest one, so you trade some model variety for lower latency. Read the [Pareto Router docs](https://openrouter.ai/docs/guides/routing/routers/pareto-router) for the full selection logic, fallback behavior, and how to customize routing. For another way to route, see the [Auto Router](/openrouter/auto).