Auto Router
VerifiedRoutes queries to optimal models across text, image, audio and video.
About Auto Router
Auto Router functions as a meta-layer on top of multiple AI providers. It evaluates incoming requests and forwards them without exposing users to individual model endpoints. The service remains closed-source and requires no local parameters to configure.
Its primary strength lies in handling multi-modal inputs within an exceptionally large context window. This enables coherent processing of lengthy documents combined with images or audio tracks. Users benefit from simplified integration since only one API surface is needed.
Typical usage includes automated pipelines where input variety changes frequently. Developers leverage it for applications that mix video analysis with text summarization or audio transcription. The router reduces the need to maintain separate credentials and selection logic for each modality.
Capabilities
Best for
Handling large-scale multimodal file analysis
Auto Router processes inputs up to 2 million tokens by automatically selecting models suited for combined text, image, audio, or video files in a single workflow.
Complex task routing without manual model choice
It applies task-adaptive selection to route queries to the optimal backend model, supporting seamless multimodal input handling across varied content types.
Long-context video and audio transcription projects
The router manages extended multimodal sessions by directing long video or audio files to appropriate models while preserving full context.
Strengths & limitations
Strengths
- +Flexible routing across model ecosystem
- +Handles diverse modalities in one interface
- +Very large context window support
- +Adapts to different task types
Limitations
- –Performance depends on routed models
- –Added latency from routing decisions
- –Less predictable than single dedicated models
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "openrouter/auto",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openrouter/auto
Editor's verdict
Auto Router is Openrouter's proprietary multimodal with a 2000K-token context window.
At no token cost, it is very cost-efficient for its class.
It is available through Openrouter's API and aggregators like OpenRouter.
Best suited to flexible routing across model ecosystem and handles diverse modalities in one interface.
Frequently asked questions
Auto Router supports a context length of 2,000,000 tokens.
User reviews
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