OpenRouter: Auto Router

Public pricingIntelligence 79/100Huge memoryVision

Auto Router is a audio model for vision-language understanding. It combines multimodal input handling and image understanding with a 1M+ tokens context window and a low-cost profile. Use it for audio understanding and multimodal input when accuracy, context, and control matters. It is a practical choice for teams that need reliable output, flexible deployment, and room to scale.

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Technical specifications

Auto Router at a glance.

Memory

2,000,000

tokens

Max reply

65,536

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

router

Released

Jun 2024

Training cutoff

—

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Auto Router

  • Screenshot analysis, image understanding, or document OCR.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

Auto Router — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

Auto Router has a 2,000,000-token context window (huge memory — multiple books or whole repositories). That means you can fit about 375,000 words of input and history in a single call.
Beyond text generation, Auto Router supports understanding images. It streams replies by default.
Auto Router was released in June 2024.
Models in a similar class include Free Models Router, Gemma 4 26B A4B, Gemma 4 31B. The "Similar models" section below this FAQ links into each.

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